A novel sleep/wake protocol for target coverage based on trust evaluation for a clustered wireless sensor network

Q4 Business, Management and Accounting
Pooja Chaturvedi, A. K. Daniel
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引用次数: 9

Abstract

The advancement in the field of nanotechnology and its impact on processor technology has made the wireless communication more powerful and popular. Coverage and lifetime maximisation are two major challenges. The node scheduling approaches address these problems: 1) achieving the connectivity and desired coverage while keeping the optimal nodes in active state; 2) resolving conflicts while determining the nodes to keep in sleep state; 3) finding strategies that avoid waking up redundant nodes. A node scheduling protocol for target coverage as an extension of energy efficient coverage preserving protocol (EECP), which determined the set covers based on the coverage probability and trust values is proposed. The clustering mechanism based on residual energy, distance and degree of the nodes is used for the dynamic selection of cluster heads. The simulation results show that the proposed enhancement achieves the improvement in the network performance than the disjoint set cover (DSC) approach.
基于信任评估的集群无线传感器网络目标覆盖睡眠/唤醒协议
纳米技术领域的进步及其对处理器技术的影响使无线通信变得更加强大和普及。覆盖面和寿命最大化是两大挑战。节点调度方法解决了以下问题:1)在保持最优节点处于活动状态的情况下,实现连接和期望的覆盖;2)解决冲突,同时确定保持休眠状态的节点;3)寻找避免唤醒冗余节点的策略。提出了一种基于覆盖概率和信任值确定目标覆盖集的节点调度协议,作为节能覆盖保持协议(EECP)的扩展。采用基于剩余能量、节点距离和节点度的聚类机制动态选择簇头。仿真结果表明,与不相交集覆盖(disjoint set cover, DSC)方法相比,该方法在网络性能上取得了显著的提高。
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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