Behavior monitoring framework in large-scale wireless sensor networks

Wireless sensor networks (WSNs) have been increasingly deployed for both civil and military applications under harsh, unpredictable or open environments. Such environments create opportunities for the intruders to launch a variety of attacks on multiple protocol layers in WSNs. This paper proposes a behavior monitoring and analysis framework for large scale WSNs. Within this framework, we address the monitor node selection problem and introduce a dedicated monitor nodes approach and propose a greedy algorithm for selecting monitor nodes. The simulation results show that the greedy algorithm is efficient in terms of monitor node set size.