In Dynamic Environments, How To Extend The Life Of A Wireless Sensor Network-A Review

In unmanned areas, wireless sensor networks are used to monitor events and environments for extended periods of time. Improving lifetime and coverage are the fundamental challenges of wireless sensor networks. The heterogeneous environments make situations more critical. The use of a genetic algorithm to optimize sensor node scheduling can extend the life of wireless sensor networks while also reducing sensor node energy consumption. As the sensor nodes are sending huge amount of data continuously, it is very difficult to extract fruitful information from it. With the help of machine learning technique, support vector machine we can extract useful information from the sensed data. The effectiveness of machine learning algorithm can be measured through accuracy, overhead and throughput.