International Journal of Advanced Networking and Applications

Open Access Open Access  Restricted Access Subscription Access

Minimizing Energy Hole Problem Comparisons in Some Hierarchical WSN Routing Protocols


Affiliations
1 Faculty of Computers and Artificial Intelligence, Sohag University, Egypt., Egypt
 

This paper study the efficient use of energy as a challenging task of designing these protocols. The energy holes are created due to non-uniform node distribution in the network when quickly drain the energy in a few nodes. It is studies removing energy holes by using sleep and awake mechanism for sensor nodes to save energy. This approach finds the maximum distance nodes to calculate the maximum energy for data. It intends to enumerate the dead nodes transmission, alive nodes, throughput, overhead and packet delivery ratio consumed by the entire network and affected by the network area changes. lastly, a brief performance analysis of Low Energy Adaptive Clustering Hierarchy (LEACH), Distributed Energy-Efficient Clustering (DEEC), Threshold sensitive Energy Efficient sensor Network protocol (TEEN) and Stable Election Protocol (SEP) is carried out considering metrics of the previous characteristics of wireless sensor network.

Keywords

Dead Nodes, Alive Nodes, Throughput, Overhead, Packet Delivery Ratio, Protocols, WSN.
User
Notifications
Font Size

  • . Holger Karl, and Andreas Willig.(2007) “Protocols and Architectures for Wireless Sensor Networks” - Book. John wley and sons Ltd.

  • . Magdi.S, Mahmoud and Yuanquing Xia.(2012) “Networked Filtering and Fusion in Wireless Sensor Networks”, CRC Press.

  • . Akyildiz.I.F, Su.W,(2002), Sankarasubramaniam.Y and Cayirci.E. “Wireless sensor networks: a survey”, Computer Networks: 393– 422.

  • . Karaki.Al, and Kamal.A.E.(2004) “Routing techniques in Wireless Sensor Networks: A survey”, IEEE Wireless Communications: 6 – 28.

  • . Hanef.M, and Deng.Z.(2012) “Design challenges and comparative analysis of cluster based routing protocols used in Wireless Sensor Networks for improving network lifetime”, Adv Inf Sci Serv Sci 4: 450 – 459.

  • . Simmi Kansal, Tarunpeet Bhatia, and Shivani Goeal.(2015), “Performance analysis of Leach and its variants”, IEEE sponsored second International Conference on Electronics and Communication Systems: 630 – 634.

  • . Salim.A, Osamy.W, and Khedr.A.M. , (2014) “IBLEACH: Intra-balanced Leach protocol for Wireless Sensor Networks”, Wireless Network 20 (6): 1515 – 1525.

  • . Anastasi.G, Conti.M, Francesco.M and Passarella. A. (2003). “Energy conversation in wireless sensor networks: A survey”, Ad Hoc Network 7(3): 537 – 568.

  • . M.B .Rasheed , N. Javaid, Z.A.Khan, U.Qasim, M.Ishfaq (2013). " E-HORM:ANENERGYEFFICIENT HOLE REMOVING MECHANISM IN WIRELESS SENSOR NETWORKS ", 26th IEEE Canadian Conference Of Electrical And Computer Engineering (CCECE).

  • . Hamdy H. El-Sayed, (April 2018) : “Performance comparison of LEACH, SEP and Z-SEP Protocols in WSN”, International Journal of Computer Applications (0975 – 8887) Volume 180 – No.30.

  • . Hamdy H. El-Sayed, Hassan Shaban Hassan (2019): “Performance Comparison of Various Hierarchical WSN Routing Protocols”, Int. J. Advanced Networking and Applications Volume: 11 Issue: 02 Pages: 4218-4223 ISSN: 0975-0290.

  • . Xu.J, Jin.N, Lou.X, Peng.T, Zhou.Q, and Chen.Y.(2012): “Improvement of Leach protocol for WSN”, In IEEE sponsored 9th International conference on fuzzy systems and knowledge discovery: 2174 – 2177.

  • . Tamanna and Anshu Sharma, (March 2016. ): " Analyze and implementation of TEEN Protocol in Wireless Sensor Network", International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 3.

  • . Li Qing, Qingxin Zhu, Mingwen Wang, (August 2006.) : " Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks", Computer Communications, Volume 29, Issue 12, 4 , Pages 2230-2237, ISSN 0140-3664.

  • . G. Smaragdakis, I. Matta, A. Bestavros (SANPA 2004),“SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks.” in: Second International Workshop on Sensor and Actor Network Protocols and Applications.


Abstract Views: 106

PDF Views: 0




  • Minimizing Energy Hole Problem Comparisons in Some Hierarchical WSN Routing Protocols

Abstract Views: 106  |  PDF Views: 0

Authors

Hamdy H. El-Sayed
Faculty of Computers and Artificial Intelligence, Sohag University, Egypt., Egypt

Abstract


This paper study the efficient use of energy as a challenging task of designing these protocols. The energy holes are created due to non-uniform node distribution in the network when quickly drain the energy in a few nodes. It is studies removing energy holes by using sleep and awake mechanism for sensor nodes to save energy. This approach finds the maximum distance nodes to calculate the maximum energy for data. It intends to enumerate the dead nodes transmission, alive nodes, throughput, overhead and packet delivery ratio consumed by the entire network and affected by the network area changes. lastly, a brief performance analysis of Low Energy Adaptive Clustering Hierarchy (LEACH), Distributed Energy-Efficient Clustering (DEEC), Threshold sensitive Energy Efficient sensor Network protocol (TEEN) and Stable Election Protocol (SEP) is carried out considering metrics of the previous characteristics of wireless sensor network.

Keywords


Dead Nodes, Alive Nodes, Throughput, Overhead, Packet Delivery Ratio, Protocols, WSN.

References