Combing Fuzzy Clustering and PSO Algorithms to Optimize Energy Consumption in WSN Networks

In wireless sensor networks, nodes are distributed in the environment and there is no access to replace batteries. Therefore, providing an algorithm to reduce energy consumption is a great major challenge. Heuristic algorithms can find best solutions (close to optimal solution) in a short time for nondeterministic polynomial problems. Thus, these algorithms are applied in optimal problems in math and artificial intelligence because math optimization methods are slow to find optimal solution or cannot find solution. In this paper, Fuzzy clustering is used to join sensors in the network and the particle swarm optimization algorithm (PSO) is used to estimate the initial value of cluster heads. Then, we evaluate our proposed method by NS2 simulator. The proposed algorithm is compared with Enhanced optimized energy efficient routing protocol E-OEEPR which is investigated by energy consumption, Packet Delivery Ratio (PDR) and network throughput.

[1]  Juan Feng,et al.  Coordinated and Adaptive Information Collecting in Target Tracking Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[2]  Feng Zhang,et al.  ICT2TSK: An improved clustering algorithm for WSN using a type-2 Takagi-Sugeno-Kang Fuzzy Logic System , 2013, 2013 IEEE Symposium on Wireless Technology & Applications (ISWTA).

[3]  A Javadpour,et al.  Implementing a Smart Method to Eliminate Artifacts of Vital Signals , 2015, Journal of biomedical physics & engineering.

[4]  Dongyao Jia,et al.  Dynamic Cluster Head Selection Method for Wireless Sensor Network , 2016, IEEE Sensors Journal.

[5]  Mohammed Abo-Zahhad,et al.  Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[6]  Hassan H. Soliman,et al.  A comparative performance evaluation of intrusion detection techniques for hierarchical wireless sensor networks , 2012 .

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

[8]  Amir Javadpour,et al.  A wearable medical sensor for provisional healthcare , 2015, 2015 2nd International Symposium on Physics and Technology of Sensors (ISPTS).

[9]  I. S. Akila,et al.  A PSO based energy efficient clustering approach for Wireless Sensor Networks , 2016, 2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC).

[10]  Dirk Pesch,et al.  Towards Energy Efficient Adaptive Error Control in Indoor WSN: A Fuzzy Logic Based Approach , 2011, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems.

[11]  M. Mehdi Afsar,et al.  Clustering in sensor networks: A literature survey , 2014, J. Netw. Comput. Appl..

[12]  Ashvini Chaturvedi,et al.  Life time enhancement of wireless Sensor Network using fuzzy c-means clustering algorithm , 2014, 2014 International Conference on Electronics and Communication Systems (ICECS).

[13]  G. Kannan,et al.  Energy efficient distributed cluster head scheduling scheme for two tiered wireless sensor network , 2015 .

[14]  Govind P. Gupta,et al.  Improved harmony search based clustering protocol for wireless sensor networks with mobile sink , 2017, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).

[15]  C. Vasanthanayaki,et al.  Particle Swarm Optimization-Based Clustering by Preventing Residual Nodes in Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[16]  Zainab Tawfeeq Alisa,et al.  Minimizing energy consumption in wireless sensor networks using modified genetic algorithm and an energy balance filter , 2016, 2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA).

[17]  Stephan Olariu,et al.  BEES: BioinspirEd backbonE Selection in Wireless Sensor Networks , 2012, IEEE Transactions on Parallel and Distributed Systems.

[18]  Mustapha Chérif-Eddine Yagoub,et al.  Particle swarm optimization protocol for clustering in wireless sensor networks: A realistic approach , 2014, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014).

[19]  Manas Ranjan Kabat,et al.  A Hierarchical Energy Efficient Reliable Transport Protocol for Wireless Sensor Networks , 2014 .

[20]  Rajesh Kumar,et al.  Real-Time Implementation of a Harmony Search Algorithm-Based Clustering Protocol for Energy-Efficient Wireless Sensor Networks , 2014, IEEE Transactions on Industrial Informatics.

[21]  Mustapha Chérif-Eddine Yagoub,et al.  PSO-HC: Particle swarm optimization protocol for hierarchical clustering in Wireless Sensor Networks , 2014, 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing.

[22]  J. Bezdek,et al.  FCM: The fuzzy c-means clustering algorithm , 1984 .

[23]  Ahmed Aliyu,et al.  Recent Advances on Energy Efficient Cluster Based Routing Protocols of Wireless Sensor Networks for Healthcare Systems , 2014 .

[24]  Santar Pal Singh,et al.  A Survey on Cluster Based Routing Protocols in Wireless Sensor Networks , 2015 .

[25]  Amir Javadpour,et al.  A temperature monitoring system incorporating an array of precision wireless thermometers , 2015, 2015 International Conference on Smart Sensors and Application (ICSSA).

[26]  Osama Moh'd Alia,et al.  A Decentralized Fuzzy C-Means-Based Energy-Efficient Routing Protocol for Wireless Sensor Networks , 2014, TheScientificWorldJournal.

[27]  Shahaboddin Shamshirband,et al.  Anomaly Detection using Fuzzy Q-learning Algorithm , 2014 .

[28]  Debashis De,et al.  Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm for enhanced network lifetime in wireless sensor network , 2016, IET Wirel. Sens. Syst..

[29]  Guojun Wang,et al.  Feature Selection and Intrusion Detection in Cloud Environment Based on Machine Learning Algorithms , 2017, 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC).

[30]  Yuan Zhou,et al.  Clustering Hierarchy Protocol in Wireless Sensor Networks Using an Improved PSO Algorithm , 2017, IEEE Access.