A Detailed Overview of Life Cycle Enhancing Approaches for WSN


  • (1)  Ankur Sharma            Student, Sat Kabir Institute of Technology and Management, Haryana, India  
            India

  • (2)  Princy            Assistant Professor, Sat Kabir Institute of Technology and Management, Haryana, India  
            India

  • (3)  Kirti Bhatia            Assistant Professor, Sat Kabir Institute of Technology and Management, Haryana, India  
            India

  • (4)  Rohini Sharma            Assistatnt Professor, GPGCW, Rohtak, India  
            India
    (*) Corresponding Author

Keywords:

Transmission pf Information, Power Requirement, Lifecycle

Abstract

The major target of a wireless sensor network (WSNs) is to amass related data in the form of packets from the physical world. Transmission of these packets towards lengthier route consumes extra battery, and amplification and causes more intervening. As a result, these variables limit the lifespan of the network and operational ability. Numerous techniques exist in the past to augment the lifespan of the WSN. In this paper we have analyzed state of art techniques which enhance the lifecycle of a WSN.

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References

Kamakshi, Kirti Bhatia, Shalini Bhadola, Rohini Sharma, A COMPREHENSIVE ANALYSIS OF WSN ROUTING PROTOCOLS, International Research Journal of Modernization in Engineering Technology and Science, Volume:02/Issue:08/AAugust-2020.

Meenakshi, Kirti Bhatia Shalini Bhadola Rohini Sharma, Power Proficient Corona Deployment Strategy for Wireless Sensor Networks, IJSRD - International Journal for Scientific Research & Development|, Vol. 8, Issue 5, 2020.

Akash Bhardwaj, Kirti Bhatia , Rohini Sharma, Shalini Bhadola, A Deep Overview on Heuristic Algorithms for MWSN, International Journal of Innovative Research in Science, Engineering and Technology, Volume 10, Issue 8, August 2021.

Akash Bhardwaj, Kirti Bhatia, Rohini Sharma, Shalini Bhadola, Development and Analysis of Heuristic Clustering of Mobile Sensor Networks, International Journal of Innovative Research in Computer and Communication Engineering, Volume 9, Issue 8, August 2021.

Anjali Rana, Kirt Bhatia, Rohini Sharma, IIEPDR: Improved Information and Energy Proficient Data Relaying Routing Protocol for Wireless Body Area Networks, International Research Journal of Science Engineering and Technology, Vol. 7, Issue 2, 2017, pp. 4-11.

Anjali Rana, Kirt Bhatia, Rohini Sharma, ETM: A survey on Energy, Thermal and Mobility Efficient Routing Protocols for Wireless Body Area Sensor Network, International Research Journal of Commerce , Arts and Science, Vol. 8, issue 4 2017, pp.26-38.

Bencan, G., Tingyao, J., Shouzhi, X. and Peng, C. (2013). An energy-heterogeneous clustering scheme to avoid energy holes in wireless sensor networks. International Journal of Distributed Sensor Networks vol.2013, 2013, Article ID 796549, 8 pages.

Shanmugasundaram, T.A. and Nachiappan, A. (2015). Multi-layer support based clustering for energy-hole prevention and routing in wireless sensor networks. Indian Journal of Science and Technology, 8(S7), 236–246.

Ye, W., heidemann an Estrin, D. (2002). An energy-efficient mac protocol for wireless sensor networks, in Proceeding of the IEEE, 21st Conference of the Computer and Communications Societies (INFOCOM), pp. 1567-1576, 2002.

Liu, A. F. , Xian-You, W., Zhi-Gang, C. and Wei-Hua, G. (2010). Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks. Computer Communications, 33, 302-321.

Soro, S. and Heinzelman, W.B. (2005). Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering, in proceeding of the 19th IEEE, International Parallel and Distributed Processing Symposium, 04-08 April, pp. 236–242, 2005.

Li, C., Ye, M., Chen, G. and Wu, J. (2005). An energy-efficient unequal clustering mechanism for wireless sensor networks,in Proceeding of the IEEE, International Conference on Mobile Adhoc and Sensor Systems, pp. 807, Nov. 2005.

Lee, S. et al. (2008). An energy-efficient distributed unequal clustering protocol for wireless sensor networks. World Academy of Science, Engineering and Technology, 48, 443-447.

An-Feng, L., Peng-Hui, Z. and Zhi-Gang, C. (2011). Theoretical analysis of the lifetime and energy hole in cluster based wireless sensor networks. Journal of Parallel Distributed Computing, 71, 1327-1355.

Nadeem, Q. et al. (2013). M-GEAR: gateway-based energy-aware multi-hop routing protocol for WSNs, in Proceeding of the IEEE, International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA, pp.164-169), 28-30 October 2013.

Jain, P. and kaur, H. (2014). Gateway based stable election multi hop routing protocol for wireless sensor networks. International Journal of Mobile Network Communications & Telematics, 4(5), 19-33.

Zhang, X. and Wu, Z.D. (2011). The balance of routing energy consumption in wireless sensor networks. Journal of Parallel and Distributed Computing, 71, 1024-1033.

Rohini Sharma, D.K. Lobiyal, Multi-Gateway-Based Energy Holes Avoidance Routing Protocol for WSN, Informatics, Vol. 3, Issue 2, No. 5, 2016, pp.1-26.

Sharma, R., Lobiyal, D.K. (2015). Energy Based Proficiency Analysis of Ad-hoc Routing Protocols in Wireless Sensor Networks, in IEEE Conference Proceedings ICACEA, pp. 882-886, 2015.

Venkateswarlu, M., Adiyapatham, K.K. and Kandasamy, C. (2014). Zone-Based Routing Protocol for Wireless Sensor Networks. International Scholarly Research Notices vol. 2014, Article ID 798934, 9 pages.

Kumar, P., Vijay, K., Krishnappa, M., Udaya, B., Vinayakamurthy, R. and Thippeswamy, B.M., (2017). ZEMDC: Zone based Energy efficient Mobile Data Collector in Wireless Sensor Networks. International Journal of Intelligent Engineering & Systems, 284-292.

Singh, I., Panag, T.S. (2016). Zone Based Energy Efficient Clustering Routing Protocol for Wireless Sensor Network. IJEEE, 3(4), 1694-2426, Aug 2016.

Published

2022-06-30

How to Cite

Sharma, A. ., Princy, Bhatia, K. ., & Sharma, R. . (2022). A Detailed Overview of Life Cycle Enhancing Approaches for WSN. Middle European Scientific Bulletin, 25, 492-499. Retrieved from https://cejsr.academicjournal.io/index.php/journal/article/view/1425

Issue

Vol. 25 (2022): June

Section

Technology
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