期刊文献+
共找到84篇文章
< 1 2 5 >
每页显示 20 50 100
相互作用herding模型的非线性行为和动力学特性 被引量:2
1
作者 董林荣 《浙江大学学报(理学版)》 CAS CSCD 北大核心 2006年第5期521-524,共4页
相互作用herding模型定性上能很好地呈现一些真实的经济规律,但定量上与真实的市场还有一定的距离,特别是收益绝对值的自关联衰退得太快.通过数值模拟研究发现该模型在它的参数取某些特定值时具有特有的非线性行为和动力学特性.此时,它... 相互作用herding模型定性上能很好地呈现一些真实的经济规律,但定量上与真实的市场还有一定的距离,特别是收益绝对值的自关联衰退得太快.通过数值模拟研究发现该模型在它的参数取某些特定值时具有特有的非线性行为和动力学特性.此时,它不仅重现该模型原有的动力学特性,并能展现出更接近真实的市场规律,其中收益绝对值表现出长程关联,呈现出幂指数分布,它的幂明显变小,落在真实的市场规律范围内. 展开更多
关键词 金融物理 相互作用herding模型 高阶 非线性行为
下载PDF
一个具有双重反馈作用的异类经纪人herding模型
2
作者 董林荣 《浙江大学学报(理学版)》 CAS CSCD 北大核心 2010年第1期46-50,共5页
一个具有双重反馈作用的异类经纪人herding模型被提出.该模型认为,金融市场是由不同大小和行为倾向的经纪人集团组成.当两个不同行为倾向的经纪人集团相遇时,他们有可能发生一次交易;当两个同种行为倾向的经纪人集团相遇时,他们可能合... 一个具有双重反馈作用的异类经纪人herding模型被提出.该模型认为,金融市场是由不同大小和行为倾向的经纪人集团组成.当两个不同行为倾向的经纪人集团相遇时,他们有可能发生一次交易;当两个同种行为倾向的经纪人集团相遇时,他们可能合并成一个更大的经纪人集团.交易或合并的成功率跟市场上一次波动程度有关.当两个经纪人集团发生一次交易后,处于亏损方的经纪人集团有可能分化和翻转,分化和翻转的概率取决于经纪人集团的亏损程度和市场信念等因素.数值计算表明,该模型能较好地反映市场的经济行为和动力学特性. 展开更多
关键词 双重反馈 异类经纪人 herding模型 分化 翻转
下载PDF
Network correlation between investor’s herding behavior and overconfidence behavior 被引量:2
3
作者 Mao Zhang Yi-Ming Wang 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第4期571-581,共11页
It is generally accepted that herding behavior and overconfidence behavior are unrelated or even mutually exclusive.However,these behaviors can both lead to some similar market anomalies,such as excessive trading volu... It is generally accepted that herding behavior and overconfidence behavior are unrelated or even mutually exclusive.However,these behaviors can both lead to some similar market anomalies,such as excessive trading volume and volatility in the stock market.Due to the limitation of traditional time series analysis,we try to study whether there exists network relevance between the investor’s herding behavior and overconfidence behavior based on the complex network method.Since the investor’s herding behavior is based on market trends and overconfidence behavior is based on past performance,we convert the time series data of market trends into a market network and the time series data of the investor’s past judgments into an investor network.Then,we update these networks as new information arrives at the market and show the weighted in-degrees of the nodes in the market network and the investor network can represent the herding degree and the confidence degree of the investor,respectively.Using stock transaction data of Microsoft,US S&P 500 stock index,and China Hushen 300 stock index,we update the two networks and find that there exists a high similarity of network topological properties and a significant correlation of node parameter sequences between the market network and the investor network.Finally,we theoretically derive and conclude that the investor’s herding degree and confidence degree are highly related to each other when there is a clear market trend. 展开更多
关键词 complex NETWORK time series herding BEHAVIOR OVERCONFIDENCE BEHAVIOR
下载PDF
Herding behavior in Ramadan and financial crises: the case of the Pakistani stock market 被引量:2
4
作者 Imran Yousaf Shoaib Ali Syed Zulfiqar Ali Shah 《Financial Innovation》 2018年第1期242-255,共14页
This study examines herding behavior in the Pakistani Stock Market under different market conditions,focusing on the Ramadan effect and Crisis period by using data from 2004 to 2014.Two regression models of Christie a... This study examines herding behavior in the Pakistani Stock Market under different market conditions,focusing on the Ramadan effect and Crisis period by using data from 2004 to 2014.Two regression models of Christie and Huang(Financ Analysts J 51:31-37,1995)and Chang et al.,(J Bank Finance 24:1651-1679,2000)are used for herding estimations.Results based on daily stock data reveal that there is an absence of herding behavior during rising(up)and falling(down)market as well as during high and low volatility in market.While herding behavior is detected during low trading volume days.Yearly analysis shows that herding existed during 2005,2006 and 2007,while it is not evident during rest of the period.However,herding behavior is not detected during Ramadan.Furthermore,during financial crisis of 2007-08,Pakistani Stock Market exhibits herding behavior due to higher uncertainty and information asymmetry. 展开更多
关键词 herding behavior Financial crisis Ramadan effect Stock markets
下载PDF
Speculative bubbles and herding in cryptocurrencies 被引量:1
5
作者 Ozkan Haykir Ibrahim Yag 《Financial Innovation》 2022年第1期2137-2169,共33页
This study investigates speculative bubbles in the cryptocurrency market and factors affecting bubbles during the COVID-19 pandemic.Our results indicate that each cryptocurrency covered in the study presented bubbles.... This study investigates speculative bubbles in the cryptocurrency market and factors affecting bubbles during the COVID-19 pandemic.Our results indicate that each cryptocurrency covered in the study presented bubbles.Moreover,we found that explosive behavior in one currency leads to explosivity in other cryptocurrencies.During the pandemic,herd behavior was evident among investors;however,this diminishes during bubbles,indicating that bubbles are not explained by herd behavior.Regarding cryptocurrency and market-specific factors,we found that Google Trends and volume are positively associated with predicting speculative bubbles in time-series and panel probit regressions.Hence,investors should exercise caution when investing in cryptocurrencies and follow both crypto currency and market-related factors to estimate bubbles.Alternative liquidity,volatility,and Google Trends measures are used for robustness analysis and yield similar results.Overall,our results suggest that bubble behavior is common in the cryptocurrency market,contradicting the efficient market hypothesis. 展开更多
关键词 Cryptocurrency BUBBLES Co-explosivity herding COVID-19 pandemic
下载PDF
The witching week of herding on bitcoin exchanges
6
作者 N.Blasco P.Corredor N.Satrústegui 《Financial Innovation》 2022年第1期752-769,共18页
This paper analyses the herding behaviour among exchanges around the expiration of bitcoin futures traded on the Chicago Mercantile Exchange(CME).The database extends from December 2017 to October 2020,taking as a ref... This paper analyses the herding behaviour among exchanges around the expiration of bitcoin futures traded on the Chicago Mercantile Exchange(CME).The database extends from December 2017 to October 2020,taking as a reference the main exchanges that trade bitcoin(Binance,Bitfinex,Bitstamp,Coinbase,itBit,Kraken,and Gemini)and using hourly closing prices and trading volumes in bitcoin and US dollars.Adapting the proposal of Chang,Cheng and Khorana(2000)(CCK)to test conditional herding,we obtain results that indicate that the herding effect is significant during the week before expiration.After expiration,the herding effect lasts for a few hours and disappears.Information overload originating,among other causes,from sophisticated investors’strategies may generate this mimetic behaviour.The results show the relevance of intraday data applied to specific events such as expiration since the unconditional analysis shows,in general,anti-herding behaviour throughout the period of study. 展开更多
关键词 herding Expiration effect Bitcoin FUTURES EXCHANGES Intraday data
下载PDF
Agents’ Behavior in Market Bubbles: Herding and Information Effects
7
作者 PabloMarcosPrieto JavierPerote 《Economics World》 2017年第1期44-51,共8页
This paper explores some behavioral factors that may explain the formation of speculative bubbles in financial markets. The study adopts an experimental approach focused on the agents’ behavior when facing a “true... This paper explores some behavioral factors that may explain the formation of speculative bubbles in financial markets. The study adopts an experimental approach focused on the agents’ behavior when facing a “true” bubble and is incentivized to herd and/or receive information about the market sentiment. For this purpose, a straightforward laboratory experiment that reproduces the dotcom market bubble and asks subjects to forecast asset prices in a true dynamic information scenario. The experiment was conducted in the laboratory of the Faculty of Economics at the University of Salamanca and involved 137 undergraduate students in the degree of economics. The results show that incentives to the herding behavior increase the forecasted volatility and thus contribute to the bubble inflation. Nevertheless, this effect may be offset by giving information to the agents about the expected market trend. Therefore, under herding effects, it is the absence of clear signals about market sentiments what inflates the bubble. 展开更多
关键词 dotcom bubble laboratory experiment behavioral finance herding market sentiment market volatility random effects model
下载PDF
How Herding Behavior Affects Our lives——A Double-Edged Sword
8
作者 Rui Xu 《Journal of Finance Research》 2017年第1期19-21,共3页
Herding behavior is an important part of behavioral finance study. In this paper, I focus on the literature reviews of herding behavior along the timeline and explore how it affects our lives. Herding is a double-edge... Herding behavior is an important part of behavioral finance study. In this paper, I focus on the literature reviews of herding behavior along the timeline and explore how it affects our lives. Herding is a double-edged sword with various impacts. I conclude three possible explanations for herding actions based on regret aversion bias, group mind theory and Emergent Norms Theory. The historical evidence on social and economic impact including asset price bubbles, subprime crisis is presented. Although these negative impacts are serious, herding can improve decision-making for people who are less likely to be biased by regret. Herding may also accelerate society's development if we choose the right leader. Finally I would discuss several measures to ease the negative effect of herding behavior. 展开更多
关键词 BEHAVIORAL FINANCE herding Economic impact
下载PDF
Volatility and Dynamic Herding in Energy Sector of Developed Markets During COVID-19:A Markov Regime-Switching Approach
9
作者 Zuee Javaira Najam Us Sahar +1 位作者 Syed Danial Hashmi Iram Naz 《Fudan Journal of the Humanities and Social Sciences》 2024年第1期115-138,共24页
This study examines a novel relationship between volatility and dynamic herding behavior during COVID-19 by examining the relationship of oil market volatility,Global volatility and Infectious disease equity market vo... This study examines a novel relationship between volatility and dynamic herding behavior during COVID-19 by examining the relationship of oil market volatility,Global volatility and Infectious disease equity market volatility with time-varying herding behavior in energy stock of Developed markets.Using country level data,this study observes that market switch between anti-herding to herding state during pandemic and all three volatility measures have significant impact on dynamic herding state under high dispersion regime.However,in low dispersion regime only global volatility has significant impact on time-varying herding behavior.This study suggests that the level of speculation in energy sector affect investor behavior;therefore,policy makers should monitor and model possible signals related to health crisis that can be transformed in to financial market crisis. 展开更多
关键词 herding Energy sector COVID-19 VOLATILITY Markov regime approach
原文传递
Effects of herding behavior of tradable green certificate market players on market efficiency:insights from heterogeneous agent model
10
作者 Yi ZUO Xingang ZHAO 《Frontiers in Energy》 SCIE CSCD 2023年第2期266-285,共20页
Tradable green certificate(TGC)scheme promotes the development of renewable energy industry which currently has a dual effect on economy and environment.TGC market efficiency is reflected in stimulating renewable ener... Tradable green certificate(TGC)scheme promotes the development of renewable energy industry which currently has a dual effect on economy and environment.TGC market efficiency is reflected in stimulating renewable energy investment,but may be reduced by the herding behavior of market players.This paper proposes and simulates an artificial TGC market model which contains heterogeneous agents,communication structure,and regulatory rules to explore the characteristics of herding behavior and its effects on market efficiency.The results show that the evolution of herding behavior reduces information asymmetry and improves market efficiency,especially when the borrowing is allowed.In addition,the fundamental strategy is diffused by herding evolution,but TGC market efficiency may be remarkably reduced by herding with borrowing mechanism.Moreover,the herding behavior may evolve to an equilibrium where the revenue of market players is comparable,thus the fairness in TGC market is improved. 展开更多
关键词 tradable green certificate herding behavior EVOLUTION heterogeneous agent model complex network
原文传递
相互作用herding模型:记忆与遗忘 被引量:6
11
作者 董林荣 《物理学报》 SCIE EI CAS CSCD 北大核心 2006年第8期4046-4050,共5页
相互作用herding模型仅考虑上一事件对当前经济活动的影响,实际经济活动中经纪人对过去的经济活动是具有深度记忆的,过去各个事件对当前经济活动都应该有影响,但是由于遗忘,它们的影响又各不相同.具有长程记忆的相互作用herding模型认... 相互作用herding模型仅考虑上一事件对当前经济活动的影响,实际经济活动中经纪人对过去的经济活动是具有深度记忆的,过去各个事件对当前经济活动都应该有影响,但是由于遗忘,它们的影响又各不相同.具有长程记忆的相互作用herding模型认为过去各个事件对当前经济活动的影响随时间是呈指数衰退的,它不仅体现经纪人对历史具有深度的记忆能力,同时也反映出人的遗忘本性.数值计算表明,该模型不仅能重现相互作用herding模型的动力学特性,并且较好地反映真实的经济行为. 展开更多
关键词 记忆 遗忘 相互作用herding模型 指数衰退
原文传递
Design and prototyping of the readout electronics for the transition radiation detector in the high energy cosmic radiation detection facility
12
作者 Jie-Yu Zhu Yang-Zhou Su +12 位作者 Hai-Bo Yang Fen-Hua Lu Yan Yang Xi-Wen Liu Ping Wei Shu-Cai Wan Hao-Qing Xie Xian-Qin Li Cong Dai Hui-Jun Hu Hong-Bang Liu Shu-Wen Tang Cheng-Xin Zhao 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2024年第4期189-199,共11页
The high energy cosmic-radiation detection(HERD)facility is planned to launch in 2027 and scheduled to be installed on the China Space Station.It serves as a dark matter particle detector,a cosmic ray instrument,and a... The high energy cosmic-radiation detection(HERD)facility is planned to launch in 2027 and scheduled to be installed on the China Space Station.It serves as a dark matter particle detector,a cosmic ray instrument,and an observatory for high-energy gamma rays.A transition radiation detector placed on one of its lateral sides serves dual purpose,(ⅰ)calibrating HERD's electromagnetic calorimeter in the TeV energy range,and(ⅱ)serving as an independent detector for high-energy gamma rays.In this paper,the prototype readout electronics design of the transition radiation detector is demonstrated,which aims to accurately measure the charge of the anodes using the SAMPA application specific integrated circuit chip.The electronic performance of the prototype system is evaluated in terms of noise,linearity,and resolution.Through the presented design,each electronic channel can achieve a dynamic range of 0–100 fC,the RMS noise level not exceeding 0.15 fC,and the integral nonlinearity was<0.2%.To further verify the readout electronic performance,a joint test with the detector was carried out,and the results show that the prototype system can satisfy the requirements of the detector's scientific goals. 展开更多
关键词 HERD Dark matter particle detection TRD Readout electronics SAMPA Data acquisition Performance test
下载PDF
Chaotic Elephant Herd Optimization with Machine Learning for Arabic Hate Speech Detection
13
作者 Badriyya B.Al-onazi Jaber S.Alzahrani +5 位作者 Najm Alotaibi Hussain Alshahrani Mohamed Ahmed Elfaki Radwa Marzouk Heba Mohsen Abdelwahed Motwakel 《Intelligent Automation & Soft Computing》 2024年第3期567-583,共17页
In recent years,the usage of social networking sites has considerably increased in the Arab world.It has empowered individuals to express their opinions,especially in politics.Furthermore,various organizations that op... In recent years,the usage of social networking sites has considerably increased in the Arab world.It has empowered individuals to express their opinions,especially in politics.Furthermore,various organizations that operate in the Arab countries have embraced social media in their day-to-day business activities at different scales.This is attributed to business owners’understanding of social media’s importance for business development.However,the Arabic morphology is too complicated to understand due to the availability of nearly 10,000 roots and more than 900 patterns that act as the basis for verbs and nouns.Hate speech over online social networking sites turns out to be a worldwide issue that reduces the cohesion of civil societies.In this background,the current study develops a Chaotic Elephant Herd Optimization with Machine Learning for Hate Speech Detection(CEHOML-HSD)model in the context of the Arabic language.The presented CEHOML-HSD model majorly concentrates on identifying and categorising the Arabic text into hate speech and normal.To attain this,the CEHOML-HSD model follows different sub-processes as discussed herewith.At the initial stage,the CEHOML-HSD model undergoes data pre-processing with the help of the TF-IDF vectorizer.Secondly,the Support Vector Machine(SVM)model is utilized to detect and classify the hate speech texts made in the Arabic language.Lastly,the CEHO approach is employed for fine-tuning the parameters involved in SVM.This CEHO approach is developed by combining the chaotic functions with the classical EHO algorithm.The design of the CEHO algorithm for parameter tuning shows the novelty of the work.A widespread experimental analysis was executed to validate the enhanced performance of the proposed CEHOML-HSD approach.The comparative study outcomes established the supremacy of the proposed CEHOML-HSD model over other approaches. 展开更多
关键词 Arabic language machine learning elephant herd optimization TF-IDF vectorizer hate speech detection
下载PDF
Does Herd Immunity Reduce the Risk of Contracting COVID-19?
14
作者 Emma Li 《Journal of Biosciences and Medicines》 2024年第9期21-27,共7页
Herd immunity is often considered a measure to protect a whole community or population from disease if the vaccination threshold is met. Using the demographic and COVID-19 infection data from the state of Pennsylvania... Herd immunity is often considered a measure to protect a whole community or population from disease if the vaccination threshold is met. Using the demographic and COVID-19 infection data from the state of Pennsylvania, United States, the study aimed to determine if herd immunity by vaccination is an effective way to reduce the spread of the COVID-19 virus. The Pennsylvania counties were split into two groups based on qualification of herd immunity: counties that met the COVID-19 herd immunization rate of 70% and counties that did not. The ANOVA test was used to analyze the difference between the groups with and without herd immunity by the COVID-19 vaccine. The results demonstrated that there was no significant statistical difference between counties that did achieve and those that did not achieve the herd immunity threshold for the COVID-19 vaccine. On the other hand, it was observed that there had been a significant decrease in positive cases between 2020 and 2023. This decline can be attributed to the overall protection by the vaccination and adaptability to the disease, not specifically due to herd immunity alone. Ultimately, these outcomes suggest that herd immunity cannot reduce the risk of contracting COVID-19. Increased efforts to get vaccinated should be implemented to protect the general community and a wider scope of age. 展开更多
关键词 COVID-19 Herd Immunity VACCINE
下载PDF
Motivations for Loan Herding by Chinese Banks and Its Impact on Bank Performance
15
作者 Hao Fang Yen-Hsien Lee +1 位作者 Chung-Hua Shen Chien-Ping Chung 《China & World Economy》 SCIE 2019年第4期29-52,共24页
This study uses a dynamic herding model that considers intertemporal and crosssectional correlation to confirm that loan herding occurs among joint-stock commercial banks (JSCBs) and city commercial banks (CCBs). We c... This study uses a dynamic herding model that considers intertemporal and crosssectional correlation to confirm that loan herding occurs among joint-stock commercial banks (JSCBs) and city commercial banks (CCBs). We clarify the motivations for bank loan herding. We find that loan herding by both JSCBs and CCBs results more from following the behavior of other same-type banks than different-type banks because of characteristic herding or reputational concerns. Loan herding by JSCBs is motivated by investigative herding, whereas loan herding by CCBs results from informational cascades. Moreover, loan herding has a significantly harmful impact on the operating performance of CCBs but not JSCBs, which may be explained by the irrational behavior of CCBs. Our results will help Chinese bank supervisors develop appropriate policies for handling loan herding. 展开更多
关键词 financial CRISIS IRRATIONAL herding LOAN herding
原文传递
Stability-aware Energy Efficient Clustering Protocol in WSN using Opposition-based Elephant Herding Optimisation
16
作者 Y.Alekya Rani E.Sreenivasa Redd 《Journal of Control and Decision》 EI 2022年第2期202-217,共16页
The main intent of this paper is to implement the stability-aware energy-efficient clustering protocol in WSN.This paper plans to derive a multi-objective function with the constraints like energy,distance,delay,stabi... The main intent of this paper is to implement the stability-aware energy-efficient clustering protocol in WSN.This paper plans to derive a multi-objective function with the constraints like energy,distance,delay,stability period,and intents to attain the objective by developing a new well-performing meta-heuristic algorithm called Opposition-based Elephant Herding Optimisa-tion(O-EHO).The objective function diminishes the energy consumption of sensor nodes by optimum selection of cluster heads that leads to maintain the energy balance between the nor-mal nodes.In this way,there is a remarkable enhancement in the performance parameters such as throughput,stability period,and network lifetime.It is proved that the network lifetime is enhanced by the stability period and thus it is considered as the most significant parameter.The experimental analysis proves the competitive performance of the proposed model over other heuristic methods. 展开更多
关键词 Wireless sensor network network stability energy DELAY clustering cluster head selection fitness updated elephant herding optimisation multi-objective function
原文传递
Waiting and following: Within-industry herding behavior in annual report disclosure
17
作者 Shijiao Cao Jianqiong Wang 《China Journal of Accounting Research》 2021年第3期295-314,共20页
Using the unique scheduled disclosure system for annual reports in China’s stock market,we examine within-industry herding behavior in annual report timing.The results reveal the waiting and following behavior strate... Using the unique scheduled disclosure system for annual reports in China’s stock market,we examine within-industry herding behavior in annual report timing.The results reveal the waiting and following behavior strategies used in the annual reporting process within industry.Firms that originally schedule an early(late)disclosure date within their industry are more likely to reschedule to a later(earlier)date.Informational pressure is the dominant mechanism underlying herding in annual reporting,and capital market reputation incentives mainly induce the herding of bad news.Further analysis shows that delaying disclosure via the waiting strategy reduces the future occurrence of restatements,whereas bringing forward disclosure does not change the propensity of future restatements.Overall,we enrich the limited empirical studies on sequential mandatory disclosure decisions within industry. 展开更多
关键词 Financial disclosure Annual report Disclosure timing herding behavior Informational pressure Scheduled disclosure system
原文传递
Study on Herding Equilibrium of Irrational Informed Trader
18
作者 Xintian Zhuang Jingjing Wen 《Journal of Systems Science and Information》 2007年第1期51-59,共9页
This paper studies the connection between the irrational behavior of traders and the herding equilibrium of informed traders in security market. At first, we set up the trading system on the condition of market maker,... This paper studies the connection between the irrational behavior of traders and the herding equilibrium of informed traders in security market. At first, we set up the trading system on the condition of market maker, establish a trading model of perfectly rational traders, and then define herding equilibrium. Second, we extend the model using two parameters, and find the critical points of irrational traders when they reach the herding equilibrium. The result indicates that herding never occurs in market if all the traders are perfectly rational. If consider their irrational factor, it maybe arouse herding. Besides, along with the number of traders who make the same trading strategies increasing, the two critical points show some rules. 展开更多
关键词 IRRATIONAL herding equilibrium informed trader
原文传递
Intelligent design:stablecoins(in)stability and collateral during market turbulence
19
作者 Riccardo De Blasis Luca Galati +1 位作者 Alexander Webb Robert I.Webb 《Financial Innovation》 2023年第1期2454-2476,共23页
How does stablecoin design affect market behavior during turbulent periods?Stable-coins attempt to maintain a“stable”peg to the US dollar,but do so with widely varying structural designs.The spectacular collapse of ... How does stablecoin design affect market behavior during turbulent periods?Stable-coins attempt to maintain a“stable”peg to the US dollar,but do so with widely varying structural designs.The spectacular collapse of the TerraUSD(UST)stablecoin and the linked Terra(LUNA)token in May 2022 precipitated a series of reactions across major stablecoins,with some experiencing a fall in value and others gaining value.Using a Baba,Engle,Kraft and Kroner(1990)(BEKK)model,we examine the reaction to this exogenous shock and find significant contagion effects from the UST collapse,likely partially due to herding behavior among traders.We test the varying reactions among stablecoins and find that stablecoin design differences affect the direction,magnitude,and duration of the response to shocks.We discuss the implications for stablecoin developers,exchanges,traders,and regulators. 展开更多
关键词 Stablecoins herding Information cascades Volatility spillovers Market crashes Financial contagion
下载PDF
An Optimized Novel Trust-Based Security Mechanism Using Elephant Herd Optimization
20
作者 Saranya Veerapaulraj M.Karthikeyan +1 位作者 S.Sasipriya A.S.Shanthi 《Computer Systems Science & Engineering》 SCIE EI 2023年第3期2489-2500,共12页
Routing strategies and security issues are the greatest challenges in Wireless Sensor Network(WSN).Cluster-based routing Low Energy adaptive Clustering Hierarchy(LEACH)decreases power consumption and increases net-wor... Routing strategies and security issues are the greatest challenges in Wireless Sensor Network(WSN).Cluster-based routing Low Energy adaptive Clustering Hierarchy(LEACH)decreases power consumption and increases net-work lifetime considerably.Securing WSN is a challenging issue faced by researchers.Trust systems are very helpful in detecting interfering nodes in WSN.Researchers have successfully applied Nature-inspired Metaheuristics Optimization Algorithms as a decision-making factor to derive an improved and effective solution for a real-time optimization problem.The metaheuristic Elephant Herding Optimizations(EHO)algorithm is formulated based on ele-phant herding in their clans.EHO considers two herding behaviors to solve and enhance optimization problem.Based on Elephant Herd Optimization,a trust-based security method is built in this work.The proposed routing selects routes to destination based on the trust values,thus,finding optimal secure routes for transmitting data.Experimental results have demonstrated the effectiveness of the proposed EHO based routing.The Average Packet Loss Rate of the proposed Trust Elephant Herd Optimization performs better by 35.42%,by 1.45%,and by 31.94%than LEACH,Elephant Herd Optimization,and Trust LEACH,respec-tively at Number of Nodes 3000.As the proposed routing is efficient in selecting secure routes,the average packet loss rate is significantly reduced,improving the network’s performance.It is also observed that the lifetime of the network is enhanced with the proposed Trust Elephant Herd Optimization. 展开更多
关键词 Wireless sensor network low energy adaptive clustering hierarchy trust systems elephant herding optimizations algorithm trust-based elephant herd optimization
下载PDF
上一页 1 2 5 下一页 到第
使用帮助 返回顶部