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IJSTR >> Volume 8 - Issue 11, November 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Chain Based Routing Algorithm Using Hybrid Optimisation For Wireless Sensor Network

[Full Text]



Rohini, Dr. Kanika Sharma



Wireless Sensor Network, Routing Protocol, Ant Lion Optimization and Genetic Optimization Algorithm in WSN.



WSNs are spatially distributed, self-regulating sensors to track the physiological objects or observe the ecological information and gather the information to the main controller. WSN contains radio trans-receiver, micro-controller and sensor devices. A sensor device contains various applications that can be utilised in various fields. Different sensor devices are categorised on the basis of the inclines for the deployment of the fields that focused in term of economical, engineering, price and scalability. In wireless sensor network the system is controlled by the main controller and utilised to acquire information from various fields. Some of the applications of WSN is agriculture, monitoring of environment, Healthcare and transport services, authentication and surveillance, industrial uses. Wireless sensor network has the key restraint on power of sensor hops that is single hops contains a definite amount of energy. Hence, WSN may contain a robust energy reduced technique as key issue on the basis of energy. In present research, routing protocol utilise Power efficient gathering in sensor information systems (PEGASIS) is routing convention that depends on chain based and greedy approach. The sensors hops are arranged in form of the chain. In case any hop fails in between then the chain is rebuilt to bypass the failed hop. CH is allocated and transfers the information to the controller or sink hop. Performance metrices was analysed with packet delivery ratio to achieve the value up to 80%.In proposed research, a routing method for WSN is developed to improve the network lifetime, packet delivery ratio and energy consumption with help of number of rounds. The novel method has designed hybridization with GA+ALOA algorithm to resolve the issues in the network. GALO (Genetic-Ant Lion Optimization) is developed to improve the performance of the network. Simulation analysis is done using MATLAB. It is analysed that packet delivery ratio is improved up to 85%. Hence, the packet loss value is 9 bits and reduce energy is 0.9 joules.



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