HYBRID APPROACH USING MOBILE SINK AND FUZZY LOGIC FOR REGION BASED CLUSTERING IN WSN
DOI:
https://doi.org/10.24297/ijct.v16i5.6264Keywords:
Wireless, Sensor Networks, Protocol, Cluster Head, WSN, Fuzzy LogicAbstract
Wireless sensor network has revolutionized the way computing and software services are delivered to the clients on demand. Wireless sensor network is very important to the mankind. It consist of number of sensor called nodes and a base station. Nodes collect data and send to the base station. There are number of nodes which send data at a time. So, number of problems are occurred. So, far this nodes are divided into cluster then a cluster head will be formed. WSN is a battery powered system. When the battery is died no data send or received. So when all nodes participate for sending and receiving data then system is died earlier. Our research work proposed a new method for cluster head selection having less computational complexity. It was also found that the modified approach has improved performance to that of the other clustering approaches. The network area is divided into same sized small–small regions. Sensor nodes are randomly deployed in each predefined sub-area. Each region will have its region head (RH) and multiple member nodes. The member nodes in a specific region will send the data to the RH. RH within the region will be elected by distributed mechanism and will be based on fuzzy variables. It was found that the proposed algorithm gives a much improved network lifetime as compared to existing work. Based on our model, transmission tuning algorithm for cluster-based WSNs has been proposed to balance the load among cluster heads that fall in different regions. This algorithm is applied prior to a cluster algorithm to improve the performance of the clustering algorithm without affecting the performance of individual sensor nodes.
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References
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[40] Thein, M.Ch.M. and Thein, Th., “An energy efficient cluster-head selection for wireless sensor networksâ€, IEEE International Conference on Intelligent Systems, Modelling and Simulation, pp. 287-291, 2010.
[41] Wang, J., Yin, Y., Kim, J. and Lee, S., “A mobile sink based energy efficient clustering algorithm for WSNsâ€, IEEE, pp.678-683, 2012.
[42] Wu, M., Liu, H. and Min, Q., "Lifetime Enhancement by Cluster Head Evolutionary Energy Efficient Routing Model for WSN," IEEE, pp. 545-548, 2016.
[43] Xiuwu, Y., Lixing, F.F.Z. and Feng,Z., "WSN Monitoring Area Partition Clustering Routing Algorithm for Energy-Balanced," IEEE, pp. 80-84, 2016.
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[2] Abusaimeh, H., and Yang, S.H., “Dynamic cluster head for lifetime efficiency in WSN,†International Journal of Automation and Computering, pp. 48-54, 2009.
[3] Ali, A.W., and Permanand, “Energy Efficiency in routing protocol and data collection approaches for WSN : A Surveyâ€, International Conference on Computing, Communication and Automation, pp.540-545, 2015
[4] Ali, Q., AbdulMaowjod, A. and Mohammed, H., "Simulation and Performance Study of Wireless Sensor Network (WSN) Using MATLAB," Iraq J. Electrical and Electronic Engineering, vol. 7, pp. 112 - 119, 2011.
[5] Beiranvand, Z., Patooghy, A. and Fazeli, M., “I-LEACH:An Efficient Routing Algorithm to Improve Performance & to Reduce Energy Consumption in Wireless sensor Networksâ€, Conference on Information and Knowledge Technology, pp.13-18, 2013.
[6] Bendigeri, K.Y. and Mallapur, J.D., “Analysis of Fault Strategies in Wireless Sensor Networksâ€, National Conference on Recent advances in Electronics & Computer Engineering, pp.46-51, 2015.
[7] Bengherbia, B., Chadli, S., Zmirli, M.O. and Toubal A., "A MicroBlaze Based WSN Sink Node Using XBee Transceiver," IEEE, pp. 831-834, 2016.
[8] Bera, S., Misra, S., Roy, S.K. and Obaidat,M.S., "Soft-WSN: Software-Deï¬ned WSN Management System for IoT Applications," IEEE, pp. 1-8, 2016.
[9] D. Peng, Q. Zhang, “An energy efficient cluster-routing protocol for wireless sensor networks", IEEE International Conference on Computer Design and Applications (ICCDA), Vol. 2, pp. 530-533, 2010.
[10] Dastagheib, J., Oulia and Ghassami, M.R.S., “An Efficient Approach for clustering in wireless sensor network using fuzzy logicâ€, International Conference on Computer Science and Network Technology (ICCSNT), vol.3, pp.1481-1486, 2011.
[11] Dietrich, I. and Dressler, F., "On the Lifetime of Wireless Sensor Network," ACM Transaction on Sensor Network, vol. 5, pp. 1 - 38, 2009.
[12] Ding, R., Yang, B., Yang, L. and Wang, J., “Soft Threshold Based Cluster-head Selection Algorithm for Wireless Sensor Networksâ€, International Conference on Sensor Technologies and Applications, pp.526-530, 2009.
[13] Gajjar, S., Choksi, N., Sarkar, M. and Dasgupta, K., “Comparative analysis of Wireless Sensor Network motesâ€, Proc. of International Conference on Signal Processing and Integrated Networks, pp. 426 – 431, 2014.
[14] Gajjar, S., Sarkar, M. and Dasgupta, K., “Cluster Head Selection Protocol using Fuzzy Logic for Wireless Sensor Networksâ€, International Journal of Computer Applications, vol.97, pp.38-43, 2014.
[15] Gupta, A.L. and Shekokar, N., "A Novel Approach to Improve Network Lifetime in WSN by Energy Efficient Packet Optimization," IEEE, pp. 117-122, 2016.
[16] Harsha, P.M. and Kanakaraju, R., “Network Lifetime Enhancement of Clustering Approach Using Handoff Mechanism in WSNâ€, IEEE, pp.809-812, 2016.
[17] Hongjuan, Li., Kai, Lin. and Kequi, Li., “Energy-efficient and high-accuracy secure data aggregation in wireless sensor networksâ€, Computer Communication, pp.591-597, 2011.
[18] Hou K.M., Vaulx C.D., Shi H., “Development of a Resource-efficient and Fault tolerant Wireless Sensor Network Systemâ€, IEEE, pp.122-127, 2015.
[19] K, R. and Neduncheliyan, DR.S., “Cluster Based fault Tolerance Using Genetic Algorithm in Wireless Sensor Networkâ€, International Conference on Information Communication And Embedded System, pp.1-4, 2016.
[20] Kaschel, H. and Ortega, O., "Energy efficiency in routing protocols applied to WSN," IEEE,pp.1-8, 2016.
[21] Khudonogova, L.I. and Muravyov, S.V., “Feasibility estimation of creating fault-tolerant prioritized transmission scheme in WSNâ€, IEEE, pp.1-4, 2015.
[22] Kumari, R. and Nand, P., "Performance Comparison of various Routing Protocols in WSN and WBAN," IEEE, pp. 427-431, 2016.
[23] Kushal, B.Y. and Chitra, M., “Cluster Based Routing Protocol to Prolong Network Lifetime through Mobile Sink in WSNâ€, IEEE, pp.1287-1291, 2016.
[24] Madhupatil and Sharma, C., “Energy Efficient Cluster Head Selection to Enhance Network Connectivity for Wireless Sensor Networkâ€,IEEE,pp.175-179, 2016.
[25] Maraiya, K., Kant, K. and Gupta, N., “Wireless sensor network: a review on data aggregationâ€. International Journal of Scientific & Engineering Research, vol. 2, pp. 1-6, 2011.
[26] Matsui,T. and Nishi,H., “Analysis and Implementation of WSN with Route Selection Considering Energy Consumptionâ€,IEEE, pp.1-7, 2016.
[27] Min, H.Y. and Zaw, W., “Energy Efficient,Fault Tolerant Routing LEACH (EF-LEACH) Protocol for Wireless Sensor Networksâ€, International Conference on Advances in Engineering and Technology, pp.36-40, 2014.
[28] Mohan, B.A. and Sarojadev, H., “A Hybrid Approach for Data collection using Multiple Mobile Nodes in WSN (HADMMN)â€, IEEE, pp.711-714, 2016
[29] Natarajan, H. and SudhaSelvaraj, “A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networksâ€, International Conference on Sensing Technology, pp.560-566, 2014.
[30] Nitesh, K., Azharuddin, Md. and Jana, P.K.,â€Energy Efficient Fault –Tolerant Clustering Algorithm for Wireless Sensor Networksâ€, IEEE, pp.234-239, 2015.
[31] Pavithra, H., Shivashankar and Poornima, G.R., “An Efficient Mobile Sink path Selection approach for WSN’sâ€,IEEE, pp.151-155, 2016
[32] Ran, G., Zhang, H. and Gong, S.H., “Improving on LEACH Protocol of Wireless Sensor Networks Using Fuzzy Logicâ€, Journal of Information & Computational Science, pp.767–775, 2010.
[33] Shahabuddin, M.D., Hasbullah, H. and Aziz, I.A., "Eliminary Framework of Topology Control Algorithm Ahieve Node’s Energy Efficiency," IEEE, pp. 259-263, 2016.
[34] Sharma, T. and Kumar, B., “F-MCHEL: Fuzzy Based Master Cluster Head Election Leach Protocol in Wireless Sensor Networkâ€, International Conference Journal of Computer Science and telecommunications, vol.3, Issue 10, pp.8-13, 2012.
[35] Shukla, K.V. and Bahi,C.M., “Energy efficient routing protocol LEACH for wireless sensor networkâ€, IEEE Communications Surveys, vol.15, pp. 551-591, 2013.
[36] Singh, O., Rishiwal, V. and Yadav, M., "Energy Trends of Routing Protocols for H-WSN," IEEE, pp.1-4, 2016
[37] Srivastava, J.R. and Sudarshan, T.S.B., “ZEEP: Zone based Energy Efficient Routing Protocol for Mobile Sensor Networksâ€, in the Proceedings of the International Conference on Advances in Computing,Communications and Informatics(ICACCl), pp. 990-996, 2013.
[38] Tang, P. and Chow, T.W.S., “Wireless Sensor Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Fieldâ€, IEEE, pp.1-8, 2015.
[39] Tejas, R. and H, M.D.T, “Design and implementation of an efficient routing schemes to increase distribute lifetime efficiency in WSNâ€, IEEE, pp. 237-240, 2016
[40] Thein, M.Ch.M. and Thein, Th., “An energy efficient cluster-head selection for wireless sensor networksâ€, IEEE International Conference on Intelligent Systems, Modelling and Simulation, pp. 287-291, 2010.
[41] Wang, J., Yin, Y., Kim, J. and Lee, S., “A mobile sink based energy efficient clustering algorithm for WSNsâ€, IEEE, pp.678-683, 2012.
[42] Wu, M., Liu, H. and Min, Q., "Lifetime Enhancement by Cluster Head Evolutionary Energy Efficient Routing Model for WSN," IEEE, pp. 545-548, 2016.
[43] Xiuwu, Y., Lixing, F.F.Z. and Feng,Z., "WSN Monitoring Area Partition Clustering Routing Algorithm for Energy-Balanced," IEEE, pp. 80-84, 2016.
[44] Yadav, L. and Sunitha, C., “Low Energy Adaptive Clustering Hierarchy in WSN (LEACH) â€, International Journal of Computer Science, Networking , vol.5, pp. 4661-4664, 2014.
[45] Zhang, Y. and Yuan, X., “Fault Diagnosis in Clustering WSN Based Neighbor Cooperationâ€, IEEE, pp.1803-1807, 2016.
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Published
2017-07-21
How to Cite
Kaur, A., & Kaur, H. (2017). HYBRID APPROACH USING MOBILE SINK AND FUZZY LOGIC FOR REGION BASED CLUSTERING IN WSN. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 16(5), 6933–6944. https://doi.org/10.24297/ijct.v16i5.6264
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