Irregular-shaped event boundary estimation in wireless sensor networks

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Conference Article

Publication Title

Advances in Intelligent Systems and Computing


In a wireless sensor network (WSN), sensor nodes are deployed to monitor a region. When an event occurs, it is important to detect and estimate the boundary of the affected area and to gather the information to the sink node in real time. In case, all the affected nodes are allowed to send data, congestion may occur, increasing path delay, and also exhausting the energy of the nodes in forwarding a large number of packets. Hence, it is a challenging problem to select a subset of affected nodes, and allow them only to forward their data to define the event region boundary satisfying the precision requirement of the application. Given a random uniform node distribution over a 2-D region, in this paper, three simple localized methods, based on local convex hull, minimum enclosing rectangle, and the angle of arrival of signal, respectively, have been proposed to estimate the event boundary. Simulation studies show that the angular method performs significantly better in terms of area estimation accuracy and number of nodes reported, even for sparse networks.

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