[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.1109/JCN.2014.000113

Distributed Prevention Mechanism for Network Partitioning in Wireless Sensor Networks

Wang, Lili (School of Automation, Nanjing University of Science and Technology)
Wu, Xiaobei (School of Automation, Nanjing University of Science and Technology)

Publication Information

Journal of Communications and Networks / v.16, no.6, 2014 , pp. 667-676 More about this Journal

Abstract

Connectivity is a crucial quality of service measure in wireless sensor networks. However, the network is always at risk of being split into several disconnected components owing to the sensor failures caused by various factors. To handle the connectivity problem, this paper introduces an in-advance mechanism to prevent network partitioning in the initial deployment phase. The approach is implemented in a distributed manner, and every node only needs to know local information of its 1-hop neighbors, which makes the approach scalable to large networks. The goal of the proposed mechanism is twofold. First, critical nodes are locally detected by the critical node detection (CND) algorithm based on the concept of maximal simplicial complex, and backups are arranged to tolerate their failures. Second, under a greedy rule, topological holes within the maximal simplicial complex as another potential risk to the network connectivity are patched step by step. Finally, we demonstrate the effectiveness of the proposed algorithm through simulation experiments.

Keywords

Connectivity; fault tolerance; partitioning; wireless sensor networks (WSN);

Citations & Related Records

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