Adaptively dynamic collaborative self-organization algorithm based on IDSQ

Sensors should be selected elaborately to fulfil the sensing task in wireless sensor networks, sensor selection is based on the tradeoff between information utility achieved by the sensor measure and energy overhead to fetch the measure. But the users' requirements for quality of service(QoS) aren't yet involved in the process of sensor collaboration. Therefore, an algorithm, adaptively dynamic collaborative self-organization(A-DCS), is proposed. According to the given accuracy, the cluster header can be select and the sequence and number of cluster member can be made adaptively, and the corresponding energy consumption is computed. This algorithm is then adapted to the specific application of target tracking. Simulation results show that this algorithm is superior to information driven sensor querying(IDSQ) and dynamic collaborative selforganization(DCS) based on the tracking accuracy and the energy consumption.