QoS Enabled Probabilistic Routing for Heterogeneous Wireless Sensor Networks
There is an increasing research interest in solving routing problems in Wireless Sensor Networks (WSN) and most of the existing routing protocols for WSN consider homogeneous nodes wherein, all sensor nodes have the same capabilities in terms of sensing, communication and computation capabilities. However, deployment of a homogeneous sensor network may suffer from poor performance. In this paper, the authors present a novel QoS routing scheme that adaptively learns an optimal routing strategy, depending on multiple optimization goals. They base their approach on Ant Colony Optimization (ACO) technique which is insensitive to initial setting, thus ideal in the context of WHSNs.