Middleware for resource sharing in multi-purpose Wireless Sensor Networks

Abstract

In order to improve application reaction times and decrease overall transmission overhead, Wireless Sensor Network (WSN) applications are being developed to push intelligence into the network. In multi-purpose enterprise deployments of WSNs the infrastructure is considered a lightweight service platform that can provide services for multiple concurrent distributed applications. In this context our middleware focuses on efficiently managing shared resources while considering Quality of Data (QoD) and context aware operation. In this paper we address the issue of how concurrent use of WSN services may lead to consequential contention over a sensor node's resources. We contribute by introducing share-able components that minimize the consequential resources needed and a resource planner that effectively reserves these resources. A prototype implementation and evaluation are provided.