Decentralised Control of Adaptive Sampling and Routing in Wireless Visual Sensor Networks

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Executive Summary

The efficient management of the limited energy resources of a wireless visual sensor network is central to its successful operation. Within this context, this paper focuses on the inter-dependent adaptive sampling and routing actions of each node in order to maximise the information value of the data collected. Thus, authors develop two optimal decentralised algorithms to solve this distributed constraint optimization problem. The first assumes fixed routing and works in tree-structured networks. The second works in networks with any topologies by using a flexible routing approach. The two algorithms represent a trade-off in optimality, communication cost, and processing time.

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