Wireless sensor networks (WSNs) are energy-constrained networks. The residual energy real-time monitoring (RERM) is very important for WSNs. Moreover, network model is an important foundation of RERM research at perso...Wireless sensor networks (WSNs) are energy-constrained networks. The residual energy real-time monitoring (RERM) is very important for WSNs. Moreover, network model is an important foundation of RERM research at personal area network (PAN) level. Because RERM is inherently application-oriented, the network model adopted should also be application-oriented. However, many factors of WSNs applications such as link selected probability and ACK mechanism etc. were neglected by current network models. These factors can introduce obvious influence on throughput of WSNs. Then the energy consumption of nodes will be influenced greatly. So these models cannot characterize many real properties of WSNs, and the result of RERM is not consistent with the real-world situation. In this study, these factors neglected by other researchers are taken into account. Furthermore, an application-oriented general network model (AGNM) for RERM is proposed. Based on the AGNM, the dynamic characteristics of WSNs are simulated. The experimental results show that AGNM can approximately characterize the real situation of WSNs. Therefore, the AGNM provides a good foundation for RERM research.展开更多
The Internet of Things(IoT)consists of interconnected smart devices communicating and collecting data.The Routing Protocol for Low-Power and Lossy Networks(RPL)is the standard protocol for Internet Protocol Version 6(...The Internet of Things(IoT)consists of interconnected smart devices communicating and collecting data.The Routing Protocol for Low-Power and Lossy Networks(RPL)is the standard protocol for Internet Protocol Version 6(IPv6)in the IoT.However,RPL is vulnerable to various attacks,including the sinkhole attack,which disrupts the network by manipulating routing information.This paper proposes the Unweighted Voting Method(UVM)for sinkhole node identification,utilizing three key behavioral indicators:DODAG Information Object(DIO)Transaction Frequency,Rank Harmony,and Power Consumption.These indicators have been carefully selected based on their contribution to sinkhole attack detection and other relevant features used in previous research.The UVM method employs an unweighted voting mechanism,where each voter or rule holds equal weight in detecting the presence of a sinkhole attack based on the proposed indicators.The effectiveness of the UVM method is evaluated using the COOJA simulator and compared with existing approaches.Notably,the proposed approach fulfills power consumption requirements for constrained nodes without increasing consumption due to the deployment design.In terms of detection accuracy,simulation results demonstrate a high detection rate ranging from 90%to 100%,with a low false-positive rate of 0%to 0.2%.Consequently,the proposed approach surpasses Ensemble Learning Intrusion Detection Systems by leveraging three indicators and three supporting rules.展开更多
在6LoWPAN(IPv6 over Low-power Wireless Personal Area Network)的基础上,该文提出应用于物联网的寻址策略,实现基于IEEE 802.15.4协议的底层异构网络与互联网的实时通信。寻址策略包括IPv6地址自动配置和报头压缩。采用的分层地址自...在6LoWPAN(IPv6 over Low-power Wireless Personal Area Network)的基础上,该文提出应用于物联网的寻址策略,实现基于IEEE 802.15.4协议的底层异构网络与互联网的实时通信。寻址策略包括IPv6地址自动配置和报头压缩。采用的分层地址自动配置策略,首先在底层网络内部允许节点使用16位短地址导出的链路本地地址进行数据分组传输,该链路本地地址需通过执行基于分簇的重复地址检测机制保证唯一性;其次,每个底层网络中的Sink节点通过上层IP路由器获取全球路由前缀,并与接口标识符相结合,形成Sink节点的全球地址,实现底层网络与互联网的数据交换。同时,通过在报头压缩编码中植入链路本地地址和全球地址控制位,提出了一种适用于物联网应用的报头压缩方案IIPHC(IoTs IPv6 Header Compression)。如果地址类型为链路本地地址,则采用简单灵活的IIPHC1方案,如果地址类型为全球地址,则采用相对复杂但有效的IIPHC2方案。仿真及测试结果表明,基于6LoWPAN的物联网寻址策略在网络开销、时延、吞吐量、能耗等性能方面存在一定的优越性。展开更多
针对太赫兹无线个域网络中跨个域网(personal area network,PAN)通信存在的常规信道时间分配时段(normal channel time allocation period,N-CTAP)部分常规节点数据传输受干扰影响节点通信的成功率等问题,提出一种太赫兹网络的高效自适...针对太赫兹无线个域网络中跨个域网(personal area network,PAN)通信存在的常规信道时间分配时段(normal channel time allocation period,N-CTAP)部分常规节点数据传输受干扰影响节点通信的成功率等问题,提出一种太赫兹网络的高效自适应报告方法(efficient adaptive reporting approach of terahertz network,EARA-T)。该方法将常规节点细分为正常节点和边缘节点,在节点入网前及入网后将节点类型信息及时高效地报告给所在PAN的微微网控制器(piconet coordinator,PNC),以便于PNC在时隙分配上采取有效措施降低甚至消除网间干扰对数据传输的影响。通过使用OPNET软件进行仿真验证,相较于FDP协议和FCP协议,所提方法信息报告控制开销和时延的降低分别不少于14.1%和3.7%,信息报告成功率提高了0.4%。展开更多
为了提高多个节点同时向一个转发节点发送不同数据包的重组效率,提出了一种基于Route-over路由机制的基于IPv6的低功耗无线个域网(IPv6over Low-Power Wireless Personal Area Networks,6LoWPAN)重组缓存管理机制.通过适当地扩大重组缓...为了提高多个节点同时向一个转发节点发送不同数据包的重组效率,提出了一种基于Route-over路由机制的基于IPv6的低功耗无线个域网(IPv6over Low-Power Wireless Personal Area Networks,6LoWPAN)重组缓存管理机制.通过适当地扩大重组缓存容量,使其能够在同一时刻建立对多个数据包的重组过程.当重组缓存容量较大时,根据缓存中已经接收到的所有数据包分片的详细信息及剩余缓存容量的大小决定是否缓存刚接收到的数据包分片;当重组缓存容量低于一定门限时,根据缓存中已经接收到的所有数据包分片的详细信息,为每个数据包计算一个重组度,丢弃重组度最低的数据包分片,从而释放缓存.同时,针对每个数据包,都开启一个重组定时器,当定时器溢出时,直接丢弃该数据包的所有缓存分片.仿真结果表明,所提出的重组缓存管理策略能够有效地提高分片的重组率.展开更多
在基于Mesh-under的IPv6低功耗无线个域网(IPv6over low-power wireless personal area networks,6LoWPAN)中,针对传输路径上中间节点重传缓存溢出导致重传数据分片丢失,造成网络性能下降等问题,提出一种基于Mesh-under的备用缓存机制...在基于Mesh-under的IPv6低功耗无线个域网(IPv6over low-power wireless personal area networks,6LoWPAN)中,针对传输路径上中间节点重传缓存溢出导致重传数据分片丢失,造成网络性能下降等问题,提出一种基于Mesh-under的备用缓存机制。本文所提机制根据传输路径上各节点重传缓存使用情况及数据分片剩余跳数等信息,设置动态重传缓存门限,并为超过该门限的节点从其邻居节点中挑选合适的备用缓存节点,从而完成数据分片的缓存与重传过程,达到均衡使用各节点重传缓存的目的。结果表明,所提机制能够有效避免重传缓存溢出,减小网络能耗,同时进一步提高目的端重组成功率。展开更多
文摘Wireless sensor networks (WSNs) are energy-constrained networks. The residual energy real-time monitoring (RERM) is very important for WSNs. Moreover, network model is an important foundation of RERM research at personal area network (PAN) level. Because RERM is inherently application-oriented, the network model adopted should also be application-oriented. However, many factors of WSNs applications such as link selected probability and ACK mechanism etc. were neglected by current network models. These factors can introduce obvious influence on throughput of WSNs. Then the energy consumption of nodes will be influenced greatly. So these models cannot characterize many real properties of WSNs, and the result of RERM is not consistent with the real-world situation. In this study, these factors neglected by other researchers are taken into account. Furthermore, an application-oriented general network model (AGNM) for RERM is proposed. Based on the AGNM, the dynamic characteristics of WSNs are simulated. The experimental results show that AGNM can approximately characterize the real situation of WSNs. Therefore, the AGNM provides a good foundation for RERM research.
基金funded by the Deanship of Scientific Research at Najran University for this research through a Grant(NU/RG/SERC/12/50)under the Research Groups at Najran University,Saudi Arabia.
文摘The Internet of Things(IoT)consists of interconnected smart devices communicating and collecting data.The Routing Protocol for Low-Power and Lossy Networks(RPL)is the standard protocol for Internet Protocol Version 6(IPv6)in the IoT.However,RPL is vulnerable to various attacks,including the sinkhole attack,which disrupts the network by manipulating routing information.This paper proposes the Unweighted Voting Method(UVM)for sinkhole node identification,utilizing three key behavioral indicators:DODAG Information Object(DIO)Transaction Frequency,Rank Harmony,and Power Consumption.These indicators have been carefully selected based on their contribution to sinkhole attack detection and other relevant features used in previous research.The UVM method employs an unweighted voting mechanism,where each voter or rule holds equal weight in detecting the presence of a sinkhole attack based on the proposed indicators.The effectiveness of the UVM method is evaluated using the COOJA simulator and compared with existing approaches.Notably,the proposed approach fulfills power consumption requirements for constrained nodes without increasing consumption due to the deployment design.In terms of detection accuracy,simulation results demonstrate a high detection rate ranging from 90%to 100%,with a low false-positive rate of 0%to 0.2%.Consequently,the proposed approach surpasses Ensemble Learning Intrusion Detection Systems by leveraging three indicators and three supporting rules.
文摘在6LoWPAN(IPv6 over Low-power Wireless Personal Area Network)的基础上,该文提出应用于物联网的寻址策略,实现基于IEEE 802.15.4协议的底层异构网络与互联网的实时通信。寻址策略包括IPv6地址自动配置和报头压缩。采用的分层地址自动配置策略,首先在底层网络内部允许节点使用16位短地址导出的链路本地地址进行数据分组传输,该链路本地地址需通过执行基于分簇的重复地址检测机制保证唯一性;其次,每个底层网络中的Sink节点通过上层IP路由器获取全球路由前缀,并与接口标识符相结合,形成Sink节点的全球地址,实现底层网络与互联网的数据交换。同时,通过在报头压缩编码中植入链路本地地址和全球地址控制位,提出了一种适用于物联网应用的报头压缩方案IIPHC(IoTs IPv6 Header Compression)。如果地址类型为链路本地地址,则采用简单灵活的IIPHC1方案,如果地址类型为全球地址,则采用相对复杂但有效的IIPHC2方案。仿真及测试结果表明,基于6LoWPAN的物联网寻址策略在网络开销、时延、吞吐量、能耗等性能方面存在一定的优越性。
文摘为了提高W PAN应用环境下IEEE802.11b的吞吐量,首先分析IEEE802.11b DCF协议应用时的数据包传输时序,得到IEEE802.11b系统的吞吐量性能与包长及包错误概率的关系,然后对W PAN干扰网络存在时包错误概率与PLCP服务数据单元(PSDU,PLCP service data u-nit)值之间的关系进行建模.在理论上证明了在一定的W PAN干扰强度下,IEEE802.11b系统存在一个最佳的数据包长度,可以使得系统的吞吐量最大.在此基础上提出了W PAN干扰网络存在时的自适应包长方案.仿真结果表明,所提方案可以有效地提高网络吞吐量.
文摘针对太赫兹无线个域网络中跨个域网(personal area network,PAN)通信存在的常规信道时间分配时段(normal channel time allocation period,N-CTAP)部分常规节点数据传输受干扰影响节点通信的成功率等问题,提出一种太赫兹网络的高效自适应报告方法(efficient adaptive reporting approach of terahertz network,EARA-T)。该方法将常规节点细分为正常节点和边缘节点,在节点入网前及入网后将节点类型信息及时高效地报告给所在PAN的微微网控制器(piconet coordinator,PNC),以便于PNC在时隙分配上采取有效措施降低甚至消除网间干扰对数据传输的影响。通过使用OPNET软件进行仿真验证,相较于FDP协议和FCP协议,所提方法信息报告控制开销和时延的降低分别不少于14.1%和3.7%,信息报告成功率提高了0.4%。
文摘为了提高多个节点同时向一个转发节点发送不同数据包的重组效率,提出了一种基于Route-over路由机制的基于IPv6的低功耗无线个域网(IPv6over Low-Power Wireless Personal Area Networks,6LoWPAN)重组缓存管理机制.通过适当地扩大重组缓存容量,使其能够在同一时刻建立对多个数据包的重组过程.当重组缓存容量较大时,根据缓存中已经接收到的所有数据包分片的详细信息及剩余缓存容量的大小决定是否缓存刚接收到的数据包分片;当重组缓存容量低于一定门限时,根据缓存中已经接收到的所有数据包分片的详细信息,为每个数据包计算一个重组度,丢弃重组度最低的数据包分片,从而释放缓存.同时,针对每个数据包,都开启一个重组定时器,当定时器溢出时,直接丢弃该数据包的所有缓存分片.仿真结果表明,所提出的重组缓存管理策略能够有效地提高分片的重组率.
文摘在基于Mesh-under的IPv6低功耗无线个域网(IPv6over low-power wireless personal area networks,6LoWPAN)中,针对传输路径上中间节点重传缓存溢出导致重传数据分片丢失,造成网络性能下降等问题,提出一种基于Mesh-under的备用缓存机制。本文所提机制根据传输路径上各节点重传缓存使用情况及数据分片剩余跳数等信息,设置动态重传缓存门限,并为超过该门限的节点从其邻居节点中挑选合适的备用缓存节点,从而完成数据分片的缓存与重传过程,达到均衡使用各节点重传缓存的目的。结果表明,所提机制能够有效避免重传缓存溢出,减小网络能耗,同时进一步提高目的端重组成功率。
