Genetic Algorithms for Localization in WSN
Gondhi Navabharat Reddy1, Sruthi Setlam2, D Kiran Kumar3, A Navya, Natasha Saude4
1Gondhi Navabharat Reddy*, Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India.
2A Navya, Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India.
3D Kiran Kumar, Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India.
4Sruthi Setlam, Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India.
5Natasha Saude, Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 26, 2020. | Manuscript published on March 10, 2020. | PP: 2307-2401 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2533039520/2020©BEIESP | DOI: 10.35940/ijitee.E2533.039520
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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: In wireless sensor networks, localization is a way to track the exact location of sensor nodes. Occasionally node localization may not be accurate due to the absence or limitation of anchor nodes. To reduce the mean localization error, soft computing techniques such as BAT and bacterial foraging driven bat algorithm (BDBA) are utilized in literature. For better localization with reduced error, in this paper, firefly driven bat algorithm (FDBA) is proposed, which combines the heuristic of firefly and BAT algorithms. Our proposed FDBA algorithm provides better localization in terms of error of 60% and 40 % less error as compared to BAT and BDBA algorithm, respectively.
Keywords: Localization, BAT Algorithm, BDBA Driven Bat Algorithm, Firefly Driven Bat Algorithm, mean Localization Error, Wireless Sensor Network.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks