Path Discovery for Sinks Mobility in Obstacle Resisting WSNs
Sink mobility achieves great success in network life time improvement in wireless sensor networks. In mobile sink movement, mobile sink moves through random path or optimized path in obstacle free area. Fixed or constrained path is used in obstacle resisting environment. In fixed or constrained path, sink move through a predefined path, which is designed by the end user. In these strategies, only fixed obstacles are avoided which are previously present in the monitoring area. These strategies are unable to avoid those obstacles which are randomly entered in the monitoring area. In this paper, we propose a quad-tree based online path detection strategy that detects any type of obstacles which enter within the network life time and design a shortest mobile sink movement path avoiding detected obstacles. The proposed scheme divides whole network into different small size region and detects region wise obstacle. On the other hand, proposed scheme constructs region wise shortest path for mobile sink data collection. Simulation results are presented to verify our proposed scheme.
KeywordsWireless sensor networks sink mobility obstacle quad tree network life span energy efficiency
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