Enhanced Zone Stable Election Protocol based on Fuzzy Logic for Cluster Head Election in Wireless Sensor Networks

Sensor nodes in wireless sensor network (WSN) have batteries with a short lifespan and so the energy has to be judiciously utilized. Consumption of transmission energy of nodes that are deployed far away from base station (BS) increases with increase in distance. To prolong the network lifetime, the selection of cluster heads (CH) plays a crucial role. This paper proposes an enhanced zone stable election protocol based on fuzzy logic for cluster head election. The studies on ZSEP-E have assumed probabilistic election of cluster heads in the zones taking into consideration the maximum residual energy of the nodes lacking the studies on diverse parameters for cluster head election. In this paper, fuzzy logic is adapted to ZSEP-E to evaluate the cluster head selection probability taking into account the factors such as residual energy of the node, density, and distance to the base station. Simulation results demonstrate that the proposed method has significant effectiveness in terms of energy consumption as well as maximizing network lifetime by comparing the performance with ZSEP-E and other related works.

[1]  Wendi B. Heinzelman,et al.  Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks , 2002, Wirel. Networks.

[2]  Wendi B. Heinzelman,et al.  Prolonging the lifetime of wireless sensor networks via unequal clustering , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

[3]  R. K. Subramanian,et al.  MiSense Hierarchical Cluster-Based Routing Algorithm (MiCRA) for Wireless Sensor Networks , 2009 .

[4]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[5]  Constantin Zopounidis,et al.  Multicriteria classification and sorting methods: A literature review , 2002, Eur. J. Oper. Res..

[6]  Nauman Aslam,et al.  An Energy Efficient Fuzzy Logic Cluster Formation Protocol in Wireless Sensor Networks , 2012, ANT/MobiWIS.

[7]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[8]  Gregory J. Pottie,et al.  Instrumenting the world with wireless sensor networks , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[9]  D.P. Agrawal,et al.  APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless , 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.

[10]  Gang Zhou,et al.  RID: radio interference detection in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[11]  Ali Newaz Bahar,et al.  Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks , 2015 .

[12]  Wendi B. Heinzelman,et al.  Adaptive protocols for information dissemination in wireless sensor networks , 1999, MobiCom.

[13]  Brijesh Kumar,et al.  F-MCHEL: Fuzzy Based Master Cluster Head Election Leach Protocol in Wireless Sensor Network , 2012 .

[14]  S. M. Sapuan,et al.  A comprehensive VIKOR method for material selection , 2011, Materials & Design.

[15]  Jie Wu,et al.  A probabilistic clustering algorithm in wireless sensor networks , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[16]  SanjeevPuri.  Intelligent Wireless Sensor Network System to shrink Suspected Terror from Militantsy , 2012 .

[17]  Deborah Estrin,et al.  Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks , 2002 .

[18]  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.

[19]  Biswanath Mukherjee,et al.  Wireless sensor network survey , 2008, Comput. Networks.

[20]  Chenyang Lu,et al.  SPEED: a stateless protocol for real-time communication in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

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

[22]  Ameer Ahmed Abbasi,et al.  A survey on clustering algorithms for wireless sensor networks , 2007, Comput. Commun..

[23]  Xuxun Liu,et al.  A Survey on Clustering Routing Protocols in Wireless Sensor Networks , 2012, Sensors.

[24]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[25]  Shilpi Saxena,et al.  Improved Leach Routing Protocol with Soft Computing , 2015, 2015 Second International Conference on Advances in Computing and Communication Engineering.

[26]  M. K. Rathod,et al.  A methodological concept for phase change material selection based on multiple criteria decision analysis with and without fuzzy environment , 2011 .

[27]  Raju Dutta,et al.  Low-Energy Adaptive Unequal Clustering Protocol Using Fuzzy c-Means in Wireless Sensor Networks , 2014, Wirel. Pers. Commun..

[28]  Tao Liu,et al.  An energy-balancing clustering approach for gradient-based routing in wireless sensor networks , 2012, Comput. Commun..

[29]  Padmalaya Nayak,et al.  A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime , 2016, IEEE Sensors Journal.

[30]  Chandrasekaran Kandasamy,et al.  Zone-Based Routing Protocol for Wireless Sensor Networks , 2014, International scholarly research notices.

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

[32]  Yongqin Yu,et al.  High-Sensitivity Mach–Zehnder Interferometric Temperature Fiber Sensor Based on a Waist-Enlarged Fusion Bitaper , 2011, IEEE Sensors Journal.

[33]  E. H. Mamdani,et al.  Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis , 1976, IEEE Transactions on Computers.

[34]  Li Qing,et al.  Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks , 2006, Comput. Commun..

[35]  Monica R Mundada,et al.  A STUDY ON ENERGY EFFICIENT ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS , 2012 .

[36]  Stelios H. Zanakis,et al.  Multi-attribute decision making: A simulation comparison of select methods , 1998, Eur. J. Oper. Res..

[37]  Haifeng Jiang,et al.  Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks , 2013, Int. J. Distributed Sens. Networks.

[38]  R Swetha,et al.  Wireless Sensor Network : A Survey , 2018, IJARCCE.

[39]  Taho Yang,et al.  Multiple-attribute decision making methods for plant layout design problem , 2007 .

[40]  Nadeem Javaid,et al.  Z-SEP: Zonal-Stable Election Protocol for Wireless Sensor Networks , 2013, ArXiv.

[41]  Reza Zanjirani Farahani,et al.  Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives , 2010, Appl. Soft Comput..

[42]  Raju Pal,et al.  FSEP-E: Enhanced stable election protocol based on fuzzy Logic for cluster head selection in WSNs , 2013, 2013 Sixth International Conference on Contemporary Computing (IC3).

[43]  Ivan Stojmenović,et al.  Handbook of Sensor Networks: Algorithms and Architectures , 2005, Handbook of Sensor Networks.

[44]  Krishna M. Sivalingam,et al.  Data Gathering Algorithms in Sensor Networks Using Energy Metrics , 2002, IEEE Trans. Parallel Distributed Syst..

[45]  Teresa H. Y. Meng,et al.  Minimum energy mobile wireless networks , 1999, IEEE J. Sel. Areas Commun..

[46]  Debnath Bhattacharyya,et al.  A Comparative Study of Wireless Sensor Networks and Their Routing Protocols , 2010, Sensors.

[47]  Haibin Yu,et al.  Multipath disjoint routing algorithm for ad hoc wireless sensor networks , 2005, Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC'05).

[48]  Gregory J. Pottie,et al.  Protocols for self-organization of a wireless sensor network , 2000, IEEE Wirel. Commun..

[49]  Chih-Yung Chang,et al.  Energy-aware node placement, topology control and MAC scheduling for wireless sensor networks , 2008, Comput. Networks.

[50]  A. Manjeshwar,et al.  TEEN: a routing protocol for enhanced efficiency in wireless sensor networks , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[51]  P. Ganesh Kumar,et al.  An Effective Clustering Approach with Data Aggregation Using Multiple Mobile Sinks for Heterogeneous WSN , 2016, Wirel. Pers. Commun..

[52]  Jin-Shyan Lee,et al.  Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication , 2012, IEEE Sensors Journal.

[53]  Azer Bestavros,et al.  SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks , 2004 .

[54]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[55]  Indranil Gupta,et al.  Cluster-head election using fuzzy logic for wireless sensor networks , 2005, 3rd Annual Communication Networks and Services Research Conference (CNSR'05).

[56]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[57]  Rahul Vaish,et al.  Pareto Optimal Microwave Dielectric Materials , 2013 .

[58]  O. Kosheleva,et al.  Why Trapezoidal and Triangular Membership Functions Work So Well: Towards a Theoretical Explanation , 2014 .