Optimizing resource use in multi-purpose WSNs

Abstract

In multi-purpose Wireless Sensor Networks (WSNs) the infrastructure is considered a light-weight service platform that can provide services for multiple concurrent distributed applications. Concurrently running applications share network resources and each may have varying Quality of Data (QoD) requirements. In this context our research focuses on optimizing resource use while considering QoD and context aware operation. Specifically we address in-network distributed processing of service provider selection, autonomic service composition and reconfiguration to maximize resource use and efficiently supporting runtime variability in QoD.