An Investigation on the Impact of Machine Learning in Wireless Sensor Networks and Its Application Specific Challenges

Abstract

The importance of Machine Learning (ML) in advanced system technologies are proven in literature. This chapter investigates the role of ML in Wireless Sensor Networks and the challenges specific to its applications. We discuss the background literature of the renowned ML concepts and ML techniques. Further we distinguish the role of ML in WSN with detailed literature review. Subsequently, ML techniques for WSN are discussed from the literature. This chapter ends with the description of Functional and application specific challenges.