Sensor Networks

This thesis is focused on issues relating to the management of the operating systems in wireless sensor networks. It deals with the questions like: Why the management components are required in operating systems for sensor nodes? What services could be managed in the operating system for such platforms? What are the management constraints of sensor nodes? TinyOS is one of the mostly used operating systems in this area. TinyOS features multithreading architecture, a very flexible networking stack, and virtual machine implementations. In this thesis, we demonstrate a new scheduling algorithm for TinyOS which especially takes routing issues into account. The algorithm increases the sensitivity and responsiveness in wireless sensor networks. We have modified the priority scheduling algorithm which solves the well-known problem of overloading in simple FIFO scheduling. This scheme improves the fairness of the distributed sensing in the network particularly when the network is subject to mobility, to higher sensor network density and to changes in the topology