HYBRID ROUTING SCHEME-Chapter 3

Authors : Dr. L. LAKSHMANAN

part of The Research Monograph Series in Computing, Electrical & Communication Networks book series

Notes

The purpose of WSN routing is to propose a least cost of route in fleet of reliable communication between sensor nodes to base station. Many researchers have undergone for solving the routing problem in swarm Wireless sensor network. Many routing algorithms are proved with P-compete. One of the most vital problems in wireless sensor networks is finding optimal routes for transmitting data between sources to destination. Generally it pairs in a multi-hop fashion. Several algorithms have been proposed for routing. When the stated problem is non-deterministic, if so it is under the problem of less ambiguity and deterministic and transfer rate be at polynomial time , then it is proved to NP-compete and run time execution (data transfer between sensor nodes to server) be at polynomial time. Particle Swarm Optimization technique is one of the peculiar computational intelligence which has the property of infinite size and easy flexible computational implementation and have solution for many optimal problem. PSO is inspired by the particle behaviour of external creatures (birds, bees, ants, fish etc). It is one of the stochastic based optimization model proposed by (Kennedy and Eberhart, 1995). A new family of algorithms emerged inspired by intelligence (SI). This provides a novel approach to distributed optimisation problems. The expression “swarm intelligence “defines any attempt to design algorithms inspired by the collective behaviour of social insect colonies and another animal societies. Swarm intelligence provides a basis with which it is possible to explore distributed optimization problems without explore centralised control or provision of global model. Initial research has unveiled a great deal of matching properties between the routing requirements of sensor networks and certain feature of SI. There are some notable algorithms which uses ant like mobile agents to maintain routing and topology discover for wireless sensor networks. In this work we order the nodes based on their energy efficiency and their focusing towards node path........


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Dr. L. LAKSHMANAN

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