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Comprehensive Analysis of Energy Aware Clustering and Routing Protocols Used In WSN


Affiliations
1 Department of Computer Science, GIMET, Amritsar, Punjab, India
2 Department Computer Science, GIMET, Amritsar, Punjab, India
 

The evaluation and up gradation of wireless sensor Network (WSN) requires transfer of data from source to destination. Nodes within wireless network are sensors having limited energy associated with them. Nodes collaborating together form clusters. Data transmission takes place from distinct clusters towards base station. Energy of sensors needs to be preserved in order to enhance lifetime of network. This paper presents various techniques used to enhance lifetime of network. Lifetime of network ensures degradation in terms of packet drop ratio. Comparative analysis of techniques is also presented to determine approach that can be used for future enhancements.

Keywords

WSN, Clusters, Lifetime, Packet Drop Ratio.
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  • A. Kaur and H. Kaur, “A Review On A Hybrid Approach Using Mobile Sink And Fuzzy Logic For Region Based Clustering In WSN,” vol. 16, no. 2, pp. 7586–7590, 2017.
  • M. A. Perillo and W. B. Heinzelman, “Wireless Sensor Network Protocols.”
  • B. Krishnamachari and A. Networks, “An Introduction to,” no. January, pp. 1–101, 2005.
  • F. Awad, E. Taqieddin, and A. Seyam,“Energy -Efficient and Coverage-Aware Clustering in Wireless Sensor Networks,” vol. 2012, no. July, pp. 142–151, 2012.
  • T. Of, “A Comparative Study of Cluster Head Selection Algorithms In Wireless Sensor,” vol. 2, no. 4, pp. 153–164, 2011.
  • K. Maraiya, “Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network,” vol. 23, no. 9, pp. 10–18, 2011.
  • S. Mahajan, “An energy balanced QoS based cluster head selection strategy for WSN,” Egypt.Informatics J., vol. 15, no. 3, pp. 189–199, 2014.
  • Q. Nadeem, “A New Energy Efficient Protocol for Wireless Body Area Networks,” 2013.
  • T. Shah, N. Javaid, and T. N. Qureshi, “Energy Efficient Sleep Awake Aware (EESAA ) Intelligent Sensor Network Routing Protocol,” pp. 1–6.
  • B. Elbhiri, S. Rachid, S. El Fkihi, and D. Aboutajdine,“Developed Distributed Energy-Efficient Clustering (DDEEC) for heterogeneous wireless sensor networks,” 2010 5th Int. Symp.I/V Commun. Mob.Networks, ISIVC 2010, pp. 1–4, 2010.
  • S. A. Weil, S. A. Brandt, and E. L. Miller, “CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data,” SC 2006 Conf. Proc. ACM/IEEE, vol. 1, no. November, p. 31, 2006.
  • J. Robinson and E. W. Knightly, “A Performance Study of Deployment Factors in Wireless Mesh Networks,” IEEE INFOCOM 2007 - 26th IEEE Int. Conf. Comput. Commun., pp. 2054–2062, 2007.
  • P. Saini and A. K. Sharma, “E-DEEC - Enhanced distributed energy efficient clustering scheme for heterogeneous WSN,” 2010 1st Int. Conf. Parallel, Distrib.Grid Comput. PDGC - 2010, pp. 205–210, 2010.
  • L. Landge and C. Science, “AC,” vol. 2, no. 9, 2014.
  • A. Preethi, E. Pravin, and D. Sangeetha, “Modified balanced energy efficient network integrated super heterogeneous protocol,” 2016 Int. Conf.Recent Trends Inf. Technol. ICRTIT 2016, 2016.
  • H. Chaouchi and J. Marie, “Wireless sensor networks : a survey on recent developments and potential synergies.”
  • S. Hasan, Z. Hussain, and R. K. Singh,“A Survey of Wireless Sensor Network,” vol. 3, no. 3, pp. 1–6, 2013.
  • I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks : a survey,” vol. 38, pp. 393–422, 2002.
  • S. Kumar, “DE-LEACH : Distance and Energy Aware LEACH,” vol. 88, no. 9, pp. 36–42, 2014.
  • M. Liu, J. Cao, G. Chen, and X. Wang,“An Energy-Aware Routing Protocol in Wireless Sensor Networks,” pp. 445–462, 2009.
  • M. Prajapat and N. C. Barwar,“Performance Analysis of Energy Dissipation in WSNs Using Multi-Chain PEGASIS,” vol. 5, no. 6, pp. 8033–8036, 2014.
  • W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks P & SeQVUfRgX G5C7CSTQVUWRYXE ¨` G587 9 ¡ ¤£¥ ¡ §¦ STQaXcbd G587A9 G587hSeQVUfRgXI ¨` ¡ ¤£¥ ¡ B ¦ pi Qqbr 6i Q i R & G @ 7 e S QaXI ¨ F G @7A9 ¡ ¤£¥ ¡ B ¦ sSeQaX G @ 7 STQaXI ¨ F 6 ¡ ¤£¥ ¡ §¦ i Q,” 2000.
  • R. Kumar,“Evaluating the Performance of DEEC Variants,” vol. 97, no. 7, pp. 9–16, 2014.
  • M. A. Jan, P. Nanda, X. He, and R. P. Liu, “PASCCC: Priority-based application-specific congestion control clustering protocol,” Comput.Networks, vol. 74, no. PB, pp. 92–102, 2014.
  • Q. Nadeem, M. B. Rasheed, N. Javaid, Z. A. Khan, Y. Maqsood, and A. Din, “Multi-Hop Routing Protocol for WSNs.”
  • E. Cheikh, C. Saad, B. Mostafa, and H. Abderrahmane, “Energy Efficient Enhancement of TDEEC Wireless Sensors Network Protocol Based on Passive RFID Implementation,” vol. 3, no. 5, pp. 6647–6653, 2014.

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  • Comprehensive Analysis of Energy Aware Clustering and Routing Protocols Used In WSN

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Authors

Harsimranjit Kaur
Department of Computer Science, GIMET, Amritsar, Punjab, India
Tejinderdeep Singh
Department Computer Science, GIMET, Amritsar, Punjab, India
Navneet Kaur
Department of Computer Science, GIMET, Amritsar, Punjab, India

Abstract


The evaluation and up gradation of wireless sensor Network (WSN) requires transfer of data from source to destination. Nodes within wireless network are sensors having limited energy associated with them. Nodes collaborating together form clusters. Data transmission takes place from distinct clusters towards base station. Energy of sensors needs to be preserved in order to enhance lifetime of network. This paper presents various techniques used to enhance lifetime of network. Lifetime of network ensures degradation in terms of packet drop ratio. Comparative analysis of techniques is also presented to determine approach that can be used for future enhancements.

Keywords


WSN, Clusters, Lifetime, Packet Drop Ratio.

References