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Joint trust: an approach for trust-aware routing in WSN
Wireless Networks ( IF 3 ) Pub Date : 2020-02-19 , DOI: 10.1007/s11276-020-02271-w
Paul Rodrigues , Jacob John

Abstract

The province of wireless sensor networks (WSNs) is continuously increasing due to widespread applications, like, military, monitoring environmental conditions, and several other domains. However, trust management in the WSN is a major challenge as trust is used when cooperation between nodes becomes critical to attaining reliable communication. Therefore, a new trust-based routing algorithm is proposed for initiating secured routing. Additionally, the paper proposes Chicken-Dragonfly (CHicDra) optimization algorithm for assisting secure communication by finding the optimal cluster heads (CHs) in the network. Once the CHs are selected with Multi-Objective Taylor Crow Optimization, the trusted nodes are optimally finalized using the Joint Trust that depends on the trust parameters, like integrity factor, consistency factors, forwarding rate factor, and availability factors. The proposed CHicDra is the modification of the chicken swam optimization with dragonfly algorithm. Finally, the optimally chosen path is employed for further communications in the network, which is secure and trustworthy. The proposed CHicDra computes maximal packet delivery ratio (PDR) of 44%, throughput of 52.8%, and minimal delay of 0.344, respectively.



中文翻译:

联合信任:WSN中用于信任感知路由的方法

摘要

由于军事,监视环境状况以及其他几个领域的广泛应用,无线传感器网络(WSN)的省份正在不断增加。但是,WSN中的信任管理是一个主要挑战,因为当节点之间的协作对于实现可靠通信至关重要时,将使用信任。因此,提出了一种新的基于信任的路由算法来启动安全路由。此外,本文提出了鸡蜻蜓(CHicDra)优化算法,用于通过在网络中找到最佳簇头(CH)来协助安全通信。一旦通过多目标泰勒乌鸦优化选择了CH,就可以使用联合信任(取决于联合参数,如完整性因子,一致性因子,转发率因子,和可用性因素。所提出的CHicDra是蜻蜓算法对鸡群优化的修改。最终,最优选择的路径被用于网络中的进一步通信,这是安全且可信赖的。拟议的CHicDra分别计算出最大分组传送率(PDR)为44%,吞吐量为52.8%和最小延迟为0.344。

更新日期:2020-02-19
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