A Clustered Fuzzy and Dynamically Well Organized Load Balancing Algorithm (CFDLB) for Network Life Time Enhancement in Wireless Sensor Networks
K. Selvakumar1, G. Pattabirani2

1Dr. K.Selvakumar, Associate Professor, Department of Information Technology, Annamalai University, Chidambaram (Tamil Nadu), India.
2G. Pattabirani, Research Scholar, Department of Computer Science and Engineering, Annamalai University, Chidambaram (Tamil Nadu), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 472-479 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2764028419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In recent past, wireless sensor networks have been exploited and tapped for their immense potential as they are ideal choices for real time wireless communication applications. Nodes which form the back bone of the wireless sensor networks (WSN) together with an efficient routing scheme define the overall efficiency of the WSN. In recent times, research on load balancing algorithms have been investigated as the nature of incoming traffic composed of packets of information is mostly stochastic and unpredictable in nature. Since the nodes are limited by their power provision in the form of batteries which cannot be frequently replaced, are prone to over utilization in transmitting all information through a single or selected nodes closest to the base station resulting in quick drain of power supply. Hence an intelligent and efficient method of load balancing mechanism is necessary to ensure that the work load is distributed in a more or less uniform manner resulting in ideal power saving. A clustered fuzzy engine model is proposed in this research article which is capable of sensing the input traffic conditions and consequently invokes the fuzzy engine to decide upon an optimal cluster head among the set of available nodes to handle the incoming traffic. The proposed algorithm utilizes a rotational method of utilization of cluster head (CH) to ensure that all member nodes are utilized in a uniform manner based on the incoming traffic. The proposed algorithm has been implemented, experimented and compared in performance with LEACH, DLBA and GLBA algorithms and the proposed hybrid approach outperforms the existing techniques in terms of average energy consumption and load distribution.
Keyword: Wireless Sensor Networks, Load Balancing Algorithms, Soft Computing, Fuzzy Inference Engine, Cluster Head Selection.
Scope of the Article: Wireless ad hoc & Sensor Networks