Optimization of Speed Protocol Using Genetic Algorithm in Wireless Sensor Network

A Wireless Sensor Network (WSN) consists of a large number of distributed autonomous devices called sensor nodes (SNs). Sensor nodes monitors physical or environmental conditions like temperature, sound, vibration, pressure at different locations. Different wireless sensor network applications, like battlefield surveillance, health monitoring, disaster management and earthquake response systems, are developed to cope up with fast changing events in the real world. Each underlying communication infrastructure is required to meet real-time constraints and Quality-of-Service (QoS) requirements. Spatiotemporal communication protocol, called SPEED, is a real-time QoS protocol. SPEED supports spatiotemporal communication service by ensuring a desired delivery speed across the sensor network, and making end-to-end delay proportional to the distance between the source and destination. Limited power resources pose a great challenge in meeting QoS real-time routing. The purpose of the research carried is optimize SPEED protocol routing using Genetic Algorithm (GA).The whole simulation is taken place in the MATLAB environment.