Agent-based Clustering Routing Protocol for Wireless Sensor Networks
Nisha A. Auti1, Avnish R. Verma2, Bipalab K. Sarkar3, Aparna Junnarkar4
1Nisha Auti, Maharishi University of Information Technology, Lucknow (U.P), India.
2Dr. Avanisha R. Varma, Maaharishi University of Information Technology, Lucknow (U.P), India.
3Dr. Bipalab K. Sarkar, P.V.P.I.T. Bavdhan, Pune (Maharashtra), India.
4Aparna Junnarkar, Modern College of Engineering, Pune (Maharashtra), India.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 903-907 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11910283S19/19©BEIESP
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Abstract: The Wireless Sensor Network (WSN) is the group of tiny several sensor devices deployed randomly for the monitoring tasks according to the need of society such as environment monitoring, military services, etc. The widely studied problem of WSN is the energy efficiency of sensor nodes as the sensor nodes are having limited processing and battery capabilities. The literature study revealed that several routing protocols, data aggregation methods, and system designs proposed to address the energy efficiency. Mainly, the energy efficiency is dependent on the efficient design of WSN routing protocol. However, there are very few works attempted for exploiting the mobile agents in WSN clustering to optimize the energy efficiency performance further. In this paper, the concept of a mobile agent in clustering and the recent works proposed for WSN is presented. The proposed mobile agent based clustering methods for WSNs are discussed and experimental evaluation in the form of energy utilization, network lifetime, and throughput performances are considered. The outcome of this experimental analysis is the current challenges and future directions for optimizing the mobile agents based clustering protocol. Index Terms: Routing Protocol, Mobile Agent, NS2, Wireless Sensor Network
Keywords: Wireless Sensor Networks Clustering Routing Protocol Monitoring.
Scope of the Article: Clustering