Machine Learning Techniques and Challenges in Wireless Sensor Networks

Deployment of wireless sensor networks usually found in science and designing applications, in military applications for intrusion detection and in civil applications. WSNs designing may be application specific and poses numerous concerns and restrictions. Energy aware routing, great concerning region of WSNs for analyser. As sensor nodes have limited power, information transmission, packet latency and data redundancy become essential concerns of routing algorithm for prolong lifetime of network. This review discusses various WSNs challenges with the system based on machine learning. And different solutions presented by the different authors. At last the future work emphasis on mobile sink location and dynamic clustering for improved energy efficient routing.