A Comparative Analysis of Beenish and Ebeenish in WSN

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-45 Number-2
Year of Publication : 2017
Authors : Nidhi Bhatia, Manju Bala, Varsha


Nidhi Bhatia, Manju Bala, Varsha "A Comparative Analysis of Beenish and Ebeenish in WSN". International Journal of Computer Trends and Technology (IJCTT) V45(2):75-80, March 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Wireless sensor networks are made up of several sensor nodes that gather the information from their surroundings and then retransmit to the end user. In wireless sensor networks, the main issue is the battery. The Network lifetime of each WSN is depending upon the sensor’s communication. Various techniques and methods are used to enhance the network lifetime. In balanced energy efficient network integrated super heterogeneous protocol has four energy levels of nodes. In clustering, cluster head selection is the main paradigm in wireless sensor network. Cluster head selection is done through the three parameters like node degree, average energy and the path loss factors makes the network more stable and enhance the overall network lifetime. The simulation results show that the new protocol outperforms than the BEENISH protocol.

[1] Qureshi, T.N.; Javaid, N.; Malik, M.; Qasim, U.; Khan, Z.A., “On Performance Evaluation of Variants of DEEC in WSNs,” Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on wireless sensor networks, vol., 19, no.2013, pp.920-925.
[2] T. N. Qureshi, N. Javaid, A. H. Khan, A. Iqbal, E. Akhtar, M. Ishfaq. “BEENISH: Balanced Energy Efficient Network Integrated Super Heterogenous Protocol for Wireless Sensor Networks”, International Workshop on Body Area Sensor Networks (BASNet-2013), ELSEVIER, March 2013.
[3] Eric Rebeiz, Student Member, IEEE, Giuseppe Caire , Fellow, IEEE, and Andreas F. Molisch, Fellow, IEEE.,” On Performance Evaluation of Energy-Delay Trade off and Dynamic Sleep Switching for Bluetooth-Like Body-Area Sensor Networks”(2012). In IEEE TRANSACTIONS ON COMMUNICATIONS, vol. 60, no. 9, SEPTEMBER 2012.
[4] Bharat Shrestha, Ekram Hossain, and Sergio Camorlinga,” On Performance Evaluation of GTS Transmission for Heterogeneous Devices with Application to Wheelchair Body-Area Sensor Networks”. (2011). In IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 15, NO. 5, SEPTEMBER 2011.
[5] Harpreet kaur, Parminderjit Singh Bhullar, Tarundeep Singh Mann,”On Performance Evaluation of BEENISH and EDDEEC heterogeneous routing protocols in wireless sensor network”. In Australian Journal of Information Technology and Communication Volume II Issue II, ISSN 2203-2843.
[6] S. Akram, N. Javaid, A. Tauqir, A. Rao, S. N. Mohammad,”On Performance Evaluation of Threshold based Energy-efficient Fatigue Measurment for Wireless Body Area Sensor Networks”.(2013). In Eighth International Conference on Broadband, Wireless Computing, Communication and Applications.
[7] Okundu Omeni, Member, IEEE, Alan Chi Wai Wong, Alison J. Burdett, Senior Member, IEEE, and Christofer Toumazou,”On performance evaluation of Energy Efficient Medium Access Protocol for Wireless Medical Body Area Sensor Networks”(2008). In IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, VOL. 2, NO. 4, DECEMBER 2008.
[8] Kihyun Kim, Junhyung Kim, Ick-Soo Lee, Honggil Lee, Mahnsuk Yoon, Kijun Han,”On performace evaluation of Routing Protocol based on Position Information in Mobile Wireless Body Area Sensor Networks”(2009). In First International Conference on Networks & Communications.
[9] Muhammad Mahtab Alam, Olivier Berder, Daniel Menard, and Olivier Sentieys, “On performance evaluation of Traffic-Aware Dynamic MAC Protocol for Wireless Body Area Sensor Networks” (2012). In IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, VOL. 2, NO. 1, MARCH 2012.
[10] Jaspinder Kaur, Varsha “A New Approach for Energy Efficient Linear Cluster Handling Protocol In WSN "International journal of computer science and information security (ijcsis) March 2016, Vol. 14 No. 3 (Thomson Reuters).Shilpa et al.” Energy balanced QOS based cluster head selection strategy for WSN”, Egyptian Informatics journal(Elsevier), 2014, pp.189–199.

Wireless sensor network, battery, Network lifetime, clustering, node degree, average energy, minimum path loss factor.