Distributed target tracking under realistic network conditions

Distributed target tracking has been a widely studied problem for different applications, more recently considering distributed particle filter techniques for Wireless Sensor Networks (WSNs). However, the adaptation of distributed tracking filters to sensor networks with limited field-of-view and large raw-data management constraints under realistic networking conditions has not yet received enough attention. In this work, we extend the distributed particle filter formulation and enable its operation in realistic scenarios by introducing a next-hop selection mechanism for the aggregation chain and a target hand- over strategy that is capable of handling detection misses and target losses. The filter is tested using a network simulation environment over an area of 6000 m² and networks of up to 1000 sensors.