Energy Based Random Repeat Trust Computation in Delay Tolerant Network

As the use of mobile devices continues to rise,trust administration will significantly improve security in routing the guaranteed quality of service(QoS)supply in Mobile Ad Hoc Networks(MANET)due to the mobility of the nodes.There is no continuance of network communication between nodes in a delay-tolerant network(DTN).DTN is designed to complete recurring connections between nodes.This approach proposes a dynamic source routing protocol(DSR)based on a feed-forward neural network(FFNN)and energybased random repetition trust calculation in DTN.If another node is looking for a node that swerved off of its path in this situation,routing will fail since it won’t recognize it.However,in the suggested strategy,nodes do not stray from their pathways for routing.It is only likely that the message will reach the destination node if the nodes encounter their destination or an appropriate transitional node on their default mobility route,based on their pattern of mobility.The EBRRTC-DTN algorithm(Energy based random repeat trust computation)is based on the time that has passed since nodes last encountered the destination node.Compared to other existing techniques,simulation results show that this process makes the best decision and expertly determines the best and most appropriate route to send messages to the destination node,which improves routing performance,increases the number of delivered messages,and decreases delivery delay.Therefore,the suggested method is better at providing better QoS(Quality of Service)and increasing network lifetime,tolerating network system latency.

Tencent WeChat’s Micro-Innovation of Integration and Iteration under Technical Paradigm Transformation

This paper attempts to broaden the theory of dynamic competences, defining them as the abilities of firms to integrate and reconstruct in a chaotic and complex environment of technical paradigm transformation （TP transformation）. We have created a semi-interactive theoretical framework based on dynamic competences, technical paradigms and innovation strategies to investigate how corporate dynamic competences support innovation during TP transformation. Under this theoretical framework, this paper attempts to open the popular question of mobile Internet industry - the black box of ＂micro innovation＂ - to conduct an in-depth case study of WeChat＇s micro-innovation featuring ＂integration＂ and ＂iteration ＂. The authors have discovered that the success of WeChat can be attributed to the following factors： seizure of strategic opportunities during TP transformation, effective organizational learning and knowledge management, and powerful virtual integration competences across regions, sectors and firms. These factors have led to the rapid, repetitive and precise iteration of innovation based on technical knowledge and user information. Open and coordinated innovation was carried out ahead of competitors, partners and lead customers, and effective quality control of micro-innovation was conducted to mitigate the uncertainties and risks of innovation failures. These factors have enabled WeChat to become a third-party service platform of disruptive innovation and value creation in the mobile lnternet era. The theoretical contributions of this paper are as follows：it has enriche＇d the theory of dynamic competences, conducted a groundbreaking analysis on the intrinsic mechanism of micro-innovation strategy for Internet firms from the height of technical paradigms, and elaborated how dynamic competences support innovation strategies during TP transformation. This paper offers theoretical support and practical guidance for Internet firms to innovate in the context of TP transformation.