Distributed Power Control Algorithm with Multi-QoS Constraints for Wireless Sensor Networks

Abstract

In this paper, we present a Distributed Power Control algorithm with Multi-QoS Constraints (MQDPC) for WSNs (wireless sensor networks). Energy consumption, reliability and QoS provisioning are three key objectives in WSNs. In MQDPC algorithm, each sensor node independently builds its local maximum QoS topology according to the local information collected from its one-hop neighbors using MST (minimum spanning tree) scheme, therefore MQDPC algorithm is a fully distributed algorithm. The QoS metrics considered in this algorithm comprise node residual energy, end-to-end delay and link loss ratio. We analytically prove that MQDPC algorithm preserves the network QoS topology connectivity and show that MQDPC algorithm is scalable to large-scale wireless sensor network and multidimensional QoS metrics. The simulation results demonstrate that MQDPC algorithm dynamically builds network topology when wireless sensor network topology status varies over the time, and MQCTC algorithm can efficiently prolong the network life span and improve QoS performance while meeting certain QoS requirements.