Development of QoS optimized routing using Artificial bee colony and TABU-GA with a mobile base station in Wireless Sensor Network
Varsha1, Manju Bala2, Manoj Kumar3, Neeraj Kumar4
1Varsha*, Computer Science, I.K.Gujral Punjab Technical University, Jalandhar (Punjab), India.
2Manju Bala, Computer Science, Khalsa College of Engineering & Technology, Amritsar , (Punjab), India.
3Manoj Kumar, Electronics and Communication, DAV Institute of Engineering, Management & Technology, Jalandhar (Punjab), India.
4Neeraj Kumar, DIT, BBAU (A Central University), Lucknow, India.
Manuscript received on October 17, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 926-933 | Volume-9 Issue-1, November 2019. | Retrieval Number: K18390981119/2019©BEIESP | DOI: 10.35940/ijitee.K1839.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Routing in Wireless Sensor Networks (WSNs) have been playing an important and progressive role in different scenarios like the environment and traffic monitoring. In this research paper, extensive contributions have been explored concerning the routing mechanisms involving WSN. Enhancing the critical attributes like network lifetime and reliability are prime areas of research in this field. To obtain the desired results, optimizations have been performed using Swarm Intelligence (SI) based routing mechanism like the Artificial-Bee Colony (ABC) optimization and TABU-GA routing technique. Although, since the past decade, the Ant-Colony Optimization (ACO) and Particle Swarm Optimization (PSO) have been introduced and applied in this field, but the ABC and TABU-GA approach is relatively novel and considered a prominent choice as compared to other methods. However, a lot of scope for further enhancement of the ABC optimization and TABU-GA problem. This paper highlights and explains the comparison between RZLEACH (Rendezvous LEACH), ABC and TABU-GA algorithm based routing mechanisms. The simulation results obtained show that the TABU-GA have significant result over the ABC and RZLEACH and found 6% improvement when compared with the RZLEACH approach in terms of Remaining Energy and 9% lesser in case of First node dead (FND) with comparison to RZLEACH. Ratio.
Keywords: Wireless Sensor Network, Artificial Bee Colony, TABU-GA, LEACH, RZLEACH, First Node Dead, Packet Delivery
Scope of the Article: Wireless Access Technologies for IoT