Cluster based on Load Balancing for Environmental Monitoring in Wireless Sensor Network

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-54 Number-2
Year of Publication : 2017
Authors : Shashikumar .R, Dr.Anupama A Deshponde, Dr. B.Mohankumar Naik
DOI :  10.14445/22312803/IJCTT-V54P115


Shashikumar .R, Dr.Anupama A Deshponde, Dr. B.Mohankumar Naik "Cluster based on Load Balancing for Environmental Monitoring in Wireless Sensor Network". International Journal of Computer Trends and Technology (IJCTT) V54(2):97-104, December 2017. ISSN:2231-2803. Published by Seventh Sense Research Group.

Present Wireless Sensor Networks (WSN) having huge number of applications in various fields. Developing a load balanced clusters and energy efficient data routing is a challenge in the WSN. The node requires more energy, when the node transmits the data directly to Base Station (BS) without any sink node. Clustering is optimal technique to reduce the energy consumptions in the network. When the equal clustering is done, the Cluster Head (CH) collects the data from the cluster members. Collected data is transmitted to BS through CHs. Hence CHs requires more amount of energy. Due to overload of data the CHs may dies early. This leads to data loss in the network and affects the performance of the network. Hence, the proposed work Hybrid Unequal Clustering algorithm has implemented to balance the load in the network. The nodes which are near to BS makes the data routing from CHs to BS, leads energy drain in CHs. Energy Efficient Data Gathering methods is used to gather data from the CHs. The proposed combined system improves the lifetime of network and balance the energy.

[1] Pratyay Kuila and Prasanta K. Jana, ?Approximation Schemes for Load Balanced Clustering in Wireless Sensor Networks?, The Journal of Supercomputing. Springer, Vol. 68, No. 1, pp. 87-105, 2016.
[2] M Mehdi Afsar and Mohamed Younis, ?An Energy and Proximity-based Unequal Clustering Algorithm for Wireless Sensor Networks?, IEEE, pp 262-269, 2014.
[3] Yanjum Taol and Qing Cao, ?EDAL : ?an Energy Efficient Delay Aware for wireless sensor network, mobile adhoc and sensor systems (MASS) IEEE 10th international conference, IEEE, Vol 23, Issue 3, pp 810-823, 2015.
[4] Naveed Ilyasa, Turki Ali Alghamdib, Muhammad Nauman Farooqa, Bilal Mehbooba, Abdul Hannan Sadiqa, Umar Qasimc, Zahoor Ali Khand and Nadeem Javaida, ?AEDG AUV-Aided Efficient Data Gathering Routing Protocol for Underwater Wireless Sensor Networks, Procedia Computer Science. Elsevier, Vol. 52, pp. 568-575, 2015.
[5] Nueraili Aierken, Roberto Gagliardi, Leonardo Mostarda and Zaib Ullah, ?RUHEED- Rotated Unequal Clustering Algorithm for Wireless Sensor Networks?, Advanced Information Networking and Applications Workshops (WAINA) IEEE 29th International Conference. IEEE, pp.170 – 174, 2015.
[6] Chuan Zhu, Shuai Wu, Guangjie Han, Lei Shu And Hongyi W, ?A Tree-Cluster-Based Data-Gathering Algorithm for Industrial WSNs With a Mobile Sink? , IEEE, Vol. 3, pp. 381 – 396, 2015.
[7] Zhao Han, Jie W, Jie Zhang, Liefeng Liu and Kaiyun Tian, ?A General Self-Organized Tree-Based Energy-Balance Routing Protocol for Wireless Sensor Network?, IEEE, Vol. 61, No. 2, pp. 732 - 740, 2014.
[8] Pratyay Kuila and Prasanta K Jana, ?A Novel Differential Evolution Based Clustering Algorithm for Wireless Sensor Networks?, Applied soft computing. Elsevier, Vol. 25, pp. 414–425, 2014.
[9] L Malathi, R.K. Gnanamurthy and Krishnan Chandrasekaran, ?Energy Efficient Data Collection through Hybrid Unequal Clustering for Wireless Sensor Networks?, Computers and Electrical Engineering. Elsevier, Vol. 48, pp. 358 – 370, 2015.
[10] Bhat Geetalaxmi Jayram and D. V. Ashoka, ?Validation of Multiple Mobile Elements based Data Gathering Protocols for Dynamic and Static Scenarios in Wireless Sensor Networks?, Procedia Computer Science. ELESVIER, Vol. 92, pp. 260-266, 2016.
[11] Geetha V. A, Pranesh V. Kallapurb and Sushma Tellajeerac, ?Clustering in Wireless Sensor Networks: Performance Comparison of LEACH & LEACH-C Protocols Using NS2?, Procedia Technology. Elsevier, Vol. 4, pp. 163–170, 2012.
[13] Baranidharan B and B Santhi, ?Ducf: Distributed Load Balancing Unequal Clustering in Wireless Sensor Networks using Fuzzy Approach?, Applied Soft Computing. Elsevier, Vol. 40, pp. 495-506, 2016.

Wireless Sensor Network (WSN), Hybrid Unequal Clustering Layer (HUCL), Energy Efficient Data gathering (EEDG), Cluster Head (CH).