Adaptive QoS routing for significant events in wireless sensor networks

Wireless sensor networks (WSN) can report large volumes of slowly varying routine data, while important or significant events can be relatively rare. An important challenge is then to offer the significant or unusual data an adequate routing policy that will allow it to rapidly reach the sink nodes, despite the large volume of routine packets in the network. In this paper we introduce randomized re-routing (RRR), to detect the unusual events in a distributed manner, and dynamically transfer routine data packets to secondary paths in the network, while offering a fast track path with better QoS for the packets carrying unusual data. In this paper we describe the RRR algorithm and evaluate it with extensive simulations.