Affiliation:
1. DMI College of Engineering
Abstract
Wireless Sensor Networks (WSN) have expanded significantly over the past few decades as a result of recent developments in Wireless Communication technologies. Many innovative architectures, protocols, algorithms, and applications have been proposed and implemented. Routing protocols that directly affect the lifetime of a network have a significant impact on the efficiency of these networks. One of the most commonly used and preferred methods for routing operations is Clustering. Swarm Optimization techniques such as the Nature inspired Artificial Bee Colony (ABC) algorithm have been successfully used to solve a variety of Optimization problems in Wireless Sensor Networks. The ABC algorithm is discussed in this paper, along with its various applications, and some improvements to the ABC algorithm are also reviewed.
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