Intelligent Agent based Resource Scheduling in Wireless Sensor Networks

Wireless Sensor Network consists of sensor nodes which are small and deployed in different geographical areas for different applications. Sensor nodes are mainly constrained with resources in terms of battery, communication range and bandwidth etc. In order to prolong the wireless sensor network life span, effective utilization of resources is very critical. Hence effective resource management is a challenging task in wireless sensor network which involves resource identification, scheduling, allocation and sharing. In this paper, an intelligent agent based resource scheduling mechanism using type-2 fuzzy logic to resolve the scheduling issues involving the bandwidth and energy of wireless sensor network is proposed. Proposed agent based resource scheduling mechanism consists of node agency and sink agency. Node and sink agency consists of a mobile agent and static agent. Sink agency periodically collects the node information such as available energy, bandwidth and neighbor list collected by node agency. Based on these parameters, sink agency schedules the available resource using type-2 fuzzy logic system inference. Proposed algorithm helps to schedule the available resources effectively by handling uncertainty in resources of wireless sensor network. Our simulation results demonstrate that the proposed scheme enhances the performance in terms of resource information acquisition delay, resource scheduling computational delay, and scheduled sensor rate etc.