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Journal of Cybersecurity and Information Management
Volume 8 , Issue 2, PP: 42-50 , 2021 | Cite this article as | XML |PDF

Title

Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique

  Sahil Verma 1 * ,   Sanjukta Gain 2

1  Department of Computer Science and engineering, Chandigarh University, Mohali, India
    (sahilverma@ieee.org)

2  RCC institute of information technology, Kolkata, India
    (gsanjukta7@gmail.com)


Doi   :   https://doi.org/10.54216/JCIM.080201

Received: April 12, 2021 Accepted: October 04, 2021

Abstract :

Wireless Sensor Network (WSN) encompasses a set of wirelessly connected sensor nodes in the network for tracking and data gathering applications. The sensors in WSN are constrained in energy, memory, and processing capabilities. Despite the benefits of WSN, the sensors closer to the base station (BS) expels their energy faster. It suffers from hot spot issues and can be resolved by the use of unequal clustering techniques. In this aspect, this paper presents a political optimizer-based unequal clustering scheme (POUCS) for mitigating hot spot problems in WSN. The goal of the POUCS technique is to choose cluster heads (CHs) and determine unequal cluster sizes. The POUCS technique derives a fitness function involving different input parameters to minimize energy consumption and maximize lifetime of the network. To showcase the enhanced performance of the POUCS technique, a comprehensive experimental analysis takes place, and the detailed comparison study reported the better performance of the POUCS technique over the recent techniques.

Keywords :

Unequal clustering , WSN , Energy efficiency , Cluster head , Hot spot problem , Political optimizer

References :

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Cite this Article as :
Style #
MLA Sahil Verma, Sanjukta Gain. "Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique." Journal of Cybersecurity and Information Management, Vol. 8, No. 2, 2021 ,PP. 42-50 (Doi   :  https://doi.org/10.54216/JCIM.080201)
APA Sahil Verma, Sanjukta Gain. (2021). Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique. Journal of Journal of Cybersecurity and Information Management, 8 ( 2 ), 42-50 (Doi   :  https://doi.org/10.54216/JCIM.080201)
Chicago Sahil Verma, Sanjukta Gain. "Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique." Journal of Journal of Cybersecurity and Information Management, 8 no. 2 (2021): 42-50 (Doi   :  https://doi.org/10.54216/JCIM.080201)
Harvard Sahil Verma, Sanjukta Gain. (2021). Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique. Journal of Journal of Cybersecurity and Information Management, 8 ( 2 ), 42-50 (Doi   :  https://doi.org/10.54216/JCIM.080201)
Vancouver Sahil Verma, Sanjukta Gain. Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique. Journal of Journal of Cybersecurity and Information Management, (2021); 8 ( 2 ): 42-50 (Doi   :  https://doi.org/10.54216/JCIM.080201)
IEEE Sahil Verma, Sanjukta Gain, Mitigating Hot Spot Problem in Wireless Sensor Networks using Political Optimizer Based Unequal Clustering Technique, Journal of Journal of Cybersecurity and Information Management, Vol. 8 , No. 2 , (2021) : 42-50 (Doi   :  https://doi.org/10.54216/JCIM.080201)