Fuzzy-Topsis-Based Cluster Head Selection in Mobile Wireless Sensor Networks: Cluster Head Selection in Mobile WSN

One of the critical and vital parameter of Wireless Sensor Networks (WSNs) is its lifetime. There are various methods to increase WSN lifetime, clustering technique is one of them. In clustering, selection of desired percentage of Cluster Head (CHs) is performed among the sensor nodes (SNs). Selected CHs are responsible to collect data from its member nodes, aggregates the data and finally send to the sink. In this chapter, Fuzzy-TOPSIS techniques based on multi criteria decision making to choose CH efficiently and effectively to maximize the WSN lifetime are presented. These five criteria includes; residual energy, node energy consumption rate, number of neighbor nodes, average distance between neighboring nodes and distance from sink. Threshold based intra-cluster and inter-cluster multi-hop communication mechanism is used to decrease energy consumption. Moreover impact of node density and different type mobility strategies are presented in order to investigate impact over WSN lifetime.

[1]  Hai Zhao,et al.  Energy-Efficient and Fault-Tolerant Evolution Models for Large-Scale Wireless Sensor Networks: A Complex Networks-Based Approach , 2014, GLOBECOM 2014.

[2]  Chenyang Lu,et al.  Real-World Empirical Studies on Multi-Channel Reliability and Spectrum Usage for Home-Area Sensor Networks , 2013, IEEE Transactions on Network and Service Management.

[3]  Imane L'hadi,et al.  An energy-efficient WSN-based traffic safety system , 2014, 2014 5th International Conference on Information and Communication Systems (ICICS).

[4]  Purushottam Kulkarni,et al.  Energy Harvesting Sensor Nodes: Survey and Implications , 2011, IEEE Communications Surveys & Tutorials.

[5]  Steven X. Ding,et al.  An Integrated Design Framework of Fault-Tolerant Wireless Networked Control Systems for Industrial Automatic Control Applications , 2013, IEEE Transactions on Industrial Informatics.

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

[7]  Jessye Dos Santos,et al.  Security Protocols and Privacy Issues into 6LoWPAN Stack: A Synthesis , 2014, IEEE Internet of Things Journal.

[8]  Robert Simon Sherratt,et al.  Simultaneous mobile sink allocation in home environments with applications in mobile consumer robotics , 2015, IEEE Transactions on Consumer Electronics.

[9]  Wei Wang,et al.  A Fuzzy Based Clustering Protocol for Energy-Efficient Wireless Sensor Networks , 2013 .

[10]  Baltasar Beferull-Lozano,et al.  Joint Sensor Selection and Multihop Routing for Distributed Estimation in Ad-hoc Wireless Sensor Networks , 2013, IEEE Transactions on Signal Processing.

[11]  Wei Pan,et al.  A Fuzzy-Gossip routing protocol for an energy efficient wireless sensor networks , 2012, 2012 IEEE Sensors.

[12]  Mape Zoos,et al.  I' IE: E www.cie-china.orglmape2005 IEEE 2005 International Symposium on Microwave, Antenna, Propagation, and EMC Technologies For Wireless Communications , 2005 .

[13]  Gyula Simon,et al.  Countersniper system for urban warfare , 2005, TOSN.

[14]  Z. Aliouat,et al.  Efficient management of energy budget for PEGASIS routing protocol , 2012, 2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).

[15]  Feng Wang,et al.  Networked Wireless Sensor Data Collection: Issues, Challenges, and Approaches , 2011, IEEE Communications Surveys & Tutorials.

[16]  Xinrong Li,et al.  SFRP: A selective flooding-based routing protocol for clustered wireless sensor networks , 2010, 2010 IEEE Radio and Wireless Symposium (RWS).

[17]  C. Vijayalakshmi,et al.  Implementation of fuzzy multi criteria decision technique to identify the best location for call center , 2010, Trendz in Information Sciences & Computing(TISC2010).

[18]  Jason D. Williams.  Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions , 2011 .

[19]  Mohammad Valipour,et al.  Calibration of mass transfer-based models to predict reference crop evapotranspiration , 2017, Applied Water Science.

[20]  Wakee U. Ddin,et al.  Improved quality of service in wireless sensor Network with mobile sink , 2014, 17th IEEE International Multi Topic Conference 2014.

[21]  H. Y. Yu,et al.  Intelligent Sensor Network Simulation for Battlefield Resources Management , 2011, 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing.

[22]  Changjiang Li,et al.  The Application Research of Wireless Sensor Network Based on ZigBee , 2010, 2010 Second International Conference on Multimedia and Information Technology.

[23]  Jian-Bo Yang,et al.  Multiple Attribute Decision Making , 1998 .

[24]  Marlin H. Mickle,et al.  Exploring Energy Efficient Architectures in Passive Wireless Nodes for IoT Applications , 2014, IEEE Circuits and Systems Magazine.

[25]  Athanasios V. Vasilakos,et al.  A Survey on Ambient Intelligence in Healthcare , 2013, Proceedings of the IEEE.

[26]  Hamid Aghvami,et al.  Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective , 2015, IEEE Internet of Things Journal.

[27]  John A. Stankovic,et al.  ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring , 2006 .

[28]  Sanyang Liu,et al.  Clustering routing algorithm of wireless sensor networks based on Bayesian game , 2012 .

[29]  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.

[30]  Xiaohua Jia,et al.  Capacity of dual-radio multi-channel wireless sensor networks for continuous data collection , 2011, 2011 Proceedings IEEE INFOCOM.

[31]  Dimitrios D. Vergados,et al.  Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[32]  Mohammad Ali Gholami Sefidkouhi,et al.  Estimation of reference evapotranspiration using multivariate fractional polynomial, Bayesian regression, and robust regression models in three arid environments , 2017, Applied Water Science.

[33]  Wim Dehaene,et al.  Low-Power Digital Signal Processor Architecture for Wireless Sensor Nodes , 2014, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[34]  Song Mao,et al.  An Improved Fuzzy Unequal Clustering Algorithm for Wireless Sensor Network , 2011, 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM).

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

[36]  Wei Wang,et al.  A Fuzzy Based Clustering Protocol for Energy-Efficient Wireless Sensor Networks , 2013 .

[37]  G. Ahmed,et al.  Cluster head selection using decision trees for Wireless Sensor Networks , 2008, 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[38]  Manoj Misra,et al.  FTEP: A fault tolerant election protocol for multi-level clustering in homogeneous wireless sensor networks , 2008, 2008 16th IEEE International Conference on Networks.

[39]  Ping Zhang,et al.  Cluster Head Selection Using Analytical Hierarchy Process for Wireless Sensor Networks , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[40]  Jesse Hoey,et al.  Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions , 2011 .

[41]  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.

[42]  S.A. Khan,et al.  Analyzing & Enhancing energy Efficient Communication Protocol for Wireless Micro-sensor Networks , 2005, 2005 International Conference on Information and Communication Technologies.

[43]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[44]  Fernando J. Velez,et al.  Survey on the Characterization and Classification of Wireless Sensor Network Applications , 2014, IEEE Communications Surveys & Tutorials.

[45]  Yeong-Jee Chung,et al.  Self-Organization Routing Protocol Supporting Mobile Nodes for Wireless Sensor Network , 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

[46]  Xiaoyan Cui.  Research and Improvement of LEACH Protocol in Wireless Sensor Networks , 2007, 2007 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications.

[47]  Xuxun Liu,et al.  Atypical Hierarchical Routing Protocols for Wireless Sensor Networks: A Review , 2015, IEEE Sensors Journal.

[48]  Prabira Kumar Sethy,et al.  Network structure based protocols for Wireless Sensor Networks , 2014, 2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014).

[49]  Vidushi Sharma,et al.  Cluster Head Selection in Wireless Sensor Networks under Fuzzy Environment , 2013 .

[50]  Mohammad Ubaidullah Bokhari,et al.  A comprehensive study of position based routing protocols in WSNs , 2015, 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions).

[51]  Qi Wang,et al.  Improved Cluster Heads Selection Method in Wireless Sensor Networks , 2010, 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing.

[52]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[53]  Daniela Rus,et al.  Model-based monitoring for early warning flood detection , 2008, SenSys '08.

[54]  Ioannis Glaropoulos,et al.  Detecting Low-Power Primary Signals via Distributed Sensing to Support Opportunistic Spectrum Access , 2009, 2009 IEEE International Conference on Communications.

[55]  Eduardo Cerqueira,et al.  CHEATS: A cluster-head election algorithm for WSN using a Takagi-Sugeno fuzzy system , 2011, 2011 IEEE Third Latin-American Conference on Communications.

[56]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[57]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[58]  Ian F. Akyildiz,et al.  Wireless Sensor Networks: Akyildiz/Wireless Sensor Networks , 2010 .

[59]  Ouzzif Mohammed,et al.  Energy consumption balancing in wireless sensors networks , 2014, 2014 International Conference on Multimedia Computing and Systems (ICMCS).