Adaptive Cluster-Based Scheduling Management for Wireless Ad-Hoc Sensor Networks

This paper presents an adaptive sensor management scheme for wireless sensor networks, which manages the sensors by utilizing the hierarchical network structure and allocates network resources efficiently. A local criteria is used to simultaneously undertake the sensing coverage and connectivity such that dynamic cluster-based sleep scheduling can be achieved. The proposed scheme is simulated and analyzed to abstract the network behaviors in a number of settings. The experimental results show that the proposed algorithm provides efficient network power control and achieves high scalability in wireless sensor networks.