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

Ruby Bhatt, Piyush Kumar Shukla
<span title="2017-01-31">2017</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7nhj43f5cnfzbc4khxqgs4qoda" style="color: black;">International Journal of Smart Home</a> </i> &nbsp;
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
more &raquo; ... 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsh.2017.11.1.02">doi:10.14257/ijsh.2017.11.1.02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bxvdpljqqzbjnoqx3tn2ujrtji">fatcat:bxvdpljqqzbjnoqx3tn2ujrtji</a> </span>
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