Fuzzy Based Dynamic Load Management Policy for Wireless Sensor Networks

Energy efficient routing is the major goal to design an effective and high performance wireless sensor network (WSN). To design energy efficient routing technique, it is essential to consider load balancing as unavoidable phenomena. In this paper, we present a new dynamic load balanced routing policy offering a high level of energy efficiency. Unlike existing routing solutions, our scheme is based on a distributed and load balancing scheme. Furthermore, it employs a new fuzzy based node classification scheme to enhance the network life span and coverage of the network. Node decides multi-hop data transmission path according to node efficiency. Therefore, proposed policy distributes routing load throughout the network. Extensive analysis and simulation show that our approach improves many important performance metrics such as: network life span, global energy loss, transmission delay, and packets delivery ratio.

[1]  Hafizur Rahaman,et al.  CCABC: Cyclic Cellular Automata Based Clustering For Energy Conservation in Sensor Networks , 2011, ArXiv.

[2]  Wendi B. Heinzelman,et al.  Cluster head election techniques for coverage preservation in wireless sensor networks , 2009, Ad Hoc Networks.

[3]  Jinsuk Baek,et al.  A strategic deployment and cluster-header selection for wireless sensor networks , 2009, IEEE Transactions on Consumer Electronics.

[4]  Prasenjit Chanak,et al.  Fault-tolerant multipath routing scheme for energy efficient wireless sensor networks , 2013, ArXiv.

[5]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[6]  Ossama Younis,et al.  An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic , 2012, Ad Hoc Networks.

[7]  Hafizur Rahaman,et al.  FFMS: Fuzzy Based Fault Management Scheme in Wireless Sensor Networks , 2012 .

[8]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[9]  Hafizur Rahaman,et al.  Effective fault detection and routing scheme for wireless sensor networks , 2014, Comput. Electr. Eng..

[10]  Seon-Ho Park,et al.  CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks , 2008, 2008 10th International Conference on Advanced Communication Technology.

[11]  Biplab K. Sikdar,et al.  DFDNM: A Distributed Fault Detection and Node Management Scheme for Wireless Sensor Network , 2011, ACC.

[12]  Bara'a Ali Attea,et al.  A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks , 2012, Appl. Soft Comput..

[13]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..