Middleware for Resource Sharing in Multi-Purpose Wireless Sensor Networks
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 paper, the authors' middleware focuses on efficiently managing shared resources while considering Quality of Data (QoD) and context aware operation. In this paper, they address the issue of how concurrent use of WSN services may lead to consequential contention over a sensor node's resources. They contribute by introducing shareable components that minimize the consequential resources needed and a resource planner that effectively reserves these resources.