Energy Efficient And Qos Aware Ant Colony Optimization (Eq-Aco) Routing Protocol For Wireless Sensor Networks

Prasan, U Devee

doi:10.5121/ijdps.2012.3122

Cited by 5 publications

(1 citation statement)

References 12 publications

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“…Devee Prasan et. al., [64] in their paper, -Energy Efficient and Qos Aware Ant Colony Optimization (Eq-Aco) Routing Protocol for Wireless Sensor Networks‖, calculated QoS in Average, Worst and Best Case using Simulation environment. They came up with conclusion that the performance of ACO is optimal in engineering applications and their research showed optimality in all aspects by offering energy efficient routing as well as QoS aware routing.…”

Section: An Introduction To Ant Colony Optimizationmentioning

confidence: 99%

A Comprehensive Study on Ant Colony Optimization Technique with Special Reference to Wireless Sensor Network for Smart Home

Bhatt¹,

Shukla²

2017

IJSH

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Wireless Sensor Networks consists of smaller nodes. These have limited power and when deployed gathers useful information. In WSNs, it is critical to collect the information in an efficient manner. Routing in Wireless Sensor Network is also a tough job. In order to avoid the problem Bio-Inspired mechanism for routing, Ant Colony Optimization (ACO) can be utilized. ACO is a dynamic and reliable protocol. It provides energy-aware, data gathering routing structure in wireless sensor network. It can avoid network congestion and fast consumption of energy of individual node. Then it can prolong the life cycle of the whole network. ACO algorithm reduces the energy consumption. It optimizes the routing paths, providing an effective multi-path data transmission to obtain reliable communications in the case of node faults. The main goal of this comprehensive study is to provide newer researchers with utmost information and to let them know how to maintain the maximum lifetime of network, during data transmission in a efficient manner.

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Section: An Introduction To Ant Colony Optimizationmentioning

confidence: 99%