Impact of mobile node density on detection performance measures in a hybrid sensor network

We investigate the impact of mobile node density on several detection performance measures for stationary target detection by a hybrid sensor network consisting of both static and mobile nodes. Such hybrid sensor networks are becoming attractive with the recent advances in sensor nodes equipped with mobile platforms. However, adding a large number of mobile nodes to a sensor network for continuous coverage improvement might be expensive due to mobile node's higher energy consumptions compared to that with static nodes. Motivated by these, we investigate the trade-off between the density of mobile nodes and the network performance in a hybrid sensor network with respect to several performance measures of interest, when mobile nodes perform random mobility. We derive analytical (exact and/or approximate) formulae for detection probability, detection latency and mean first contact distance, by applying the theory of coverage processes and use them to evaluate the tradeoff between the...

• Type: Journal
• Year: 2010
• Where: TWC
• Authors: Thakshila Wimalajeewa, Sudharman K. Jayaweera
• Keywords: Artificial Intelligence, Hybrid Sensor Networks, Mobile Nodes, Performance, TWC 2010