REGION BASED CLUSTERING FOR DATA COLLECTION IN WSN
The lower cost and easier installation of the WSNs than the wired counterpart pushes industry and academia to pay more attention to this promising technology. Large scale networks of small energy-constrained sensor nodes require techniques and protocols which are scalable, robust, and energy-efficient. The most efficient approach provided by clustering the nodes is hierarchy. The one node will send the data to another node and the another node will send to its neightbouring node. In smart cities, wireless sensor networks (WSNs) act as a type of core infrastructure that collects data from the city to implement smart services. Our thesis work included the region based clustering, cluster head selection and energy efficient communication using static base station and movable mobile nodes. Since it was earlier proposed that clustering improves the network lifetime. We modified the region based clustering by dividing the network area into n regions with cluster head chosen for each region and 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. We have used the mobile nodes for each section with controlled trajectory path as a reference to compare the performance of each of the clustering methods.
 S. Bera, S. Misra, Sanku Kumar Roy and Mohammad S. Obaidat, "Soft-WSN: Software-Defined WSN Management System for IoT Applications," IEEE, pp. 1-8, 2016.
 N. A. M. Alduais, J. Abdullah, J. Abdullah, A. Jamil and L. Audah, "An Efficient Data Collection and Dissemination for IOT based WSN," IEEE, 2016.
 O. Singh, V. Rishiwal and M. Yadav, "Energy Trends of Routing Protocols for H-WSN," IEEE, 2016.
 R. Kumari and . P. Nand , "Performance Comparison of various Routing Protocols in WSN and WBAN," IEEE, pp. 427-431, 2016.
 Hector Kaschel and ohanna Ortega , "Energy efficiency in routing protocols applied to WSN," IEEE, 2016.
 Asdianur Hadi and Ida Wahidah, "Delay Estimation using Compressive Sensing on WSN IEEE 802.15.4," IEEE, pp. 192-197, 2016.
 Mohd Zaki Shahabuddin, Halabi Hasbullah and Izzatdin A Aziz, "eliminary Framework of Topology Control Algorithm Ahieve Nodeâ€™s Energy Efficiency," IEEE, pp. 259-263, 2016.
 Abhaykumar L. Gupta and Narendra Shekokar , "A Novel Approach to Improve Network Lifetime in WSN by Energy Efficient Packet Optimization," IEEE, 2016.
 B. Bengherbia, S. Chadli, M. Ould Zmirli and A. Toubal, "A MicroBlaze Based WSN Sink Node Using XBee Transceiver," IEEE, pp. 831-834, 2016.
 Gagandeep Kaur, Deepali and Rekha Kalra, "Improvement and Analys Security of WSN From Passive Attack," IEEE, pp. 4520-425, 2016.
 M. Wu, H. Liu and Q. Min, "Lifetime Enhancement by Cluster Head Evolutionary Energy Efficient Routing Model for WSN," IEEE, pp. 545-548, 2016.
 Roman Lara-Cueva, Rodolfo Gordillo, Liliana Valencia and Diego S. Ben, "Determining the Main CSMA Parameters for Adequate Performance of WSN for Real-time Volcano Monitoring System Applications," IEEE, pp. 1-9, 2016.
 Sanaa. S. Abd El dayem and M. R. M. Rizk , "An Efficient Authentication Protocol and Key Establishment in Dynamic WSN," IEEE, pp. 178-182, 2016.
Authors retain the copyright of their manuscripts, and all Open Access articles are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.