Swarm Intelligence for Clustering in Wireless Sensor Networks
Preeti Sethi · 2020
Swarm Intelligence (SI) is the concept which explores the collaborative behavior of various decentralized units (e.g., mobile agents) to solve complex problems. It includes models that show the ability to acquire knowledge to adapt to different circumstances. Use of SI approach in wireless sensor network (WSN) is a promising approach because of the fact that it is a connected network of individual nodes which cooperatively bind themselves in a network. Clustering in WSN refers to grouping the sensors in near proximity in a logical unit called cluster. Each cluster is headed by a special sensor which is responsible for data collection from the individual sensors. The increasing use of sensors in applications like environment monitoring and health care applications has attracted the research community to ensemble SI in these units. The chapter presents a detailed description of how SI can be exploited for clustering in WSNs, thereby ensuring an energy-efficient data dissemination in a resource constrained network.