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Energy Efficient Centralized Dynamic Clustering Reservation MAC Protocol for MWSN


Affiliations
1 Department of Telecommunication Engineering, Sri Siddhartha Academy of Higher Education, India
2 Department of Computer Science and Engineering, Sri Siddhartha Institute of Technology, India
     

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Mobile wireless sensor networks (MWSN) have recently emerged as a hot research topic as their communication links and topology change due to node mobility. In a dynamically changing environment it is essential to build energy efficient communication routes with least communication overheads. Energy is one of the most important concerns for MWSNs. To have a long lasting network lifetime, we propose a centralized, periodic, selective sensing and dynamic clustering algorithm for delay tolerant and high integrity MWSNs, aimed to enhance the connectivity and performance. All dynamically varying parameters such as location, number of nodes present in each virtual grid, residual energy are considered while forming clusters and selecting cluster head (CH). Reclustering and selection of CH is centralized and performed by sink. Cluster size is not constant and may vary from cluster to cluster in every round. If nodes in any grid is less, then nodes of neighboring grids are clubbed to form clusters. Reclustering is done in every round and to avoid data duplication, some nodes in every cluster are selected based on proximity and are not allowed to sense and transmit in that round. It is assumed in a close vicinity if more than one sensors are present they all generate same data as they sense the same physical quantity, this reduce redundant data generation sensing is performed only by selected nodes. Inter and intra communication slots are reserved depending on size of cluster by sink in every round. The algorithm is evaluated using stationary and mobile sink.

Keywords

MWSN, Dynamic Clustering, Mobile Sink, Dynamic TDMA Reservation, Selective Sensing.
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  • Chaojie Xu, Zhongling Liu, Jun Xia and Hui Yu, “An Adaptive Distributed Re-Clustering Scheme for Mobile Wireless Sensor Networks”, Proceedings of International Conference on Wireless Communications and Signal Processing, pp. 1-6, 2015.

  • W.R. Heinzelman, A. Chandrakasan and H. Balakrishnan, “Energy Efficient Communication Protocol for Wireless Micro Sensor Networks”, Proceedings of IEEE 33rd Annual Hawaii International Conference on System Sciences, 2000.

  • O. Younis and S. Fahmy, “Heed: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks”, IEEE Transactions on Mobile Computing, Vol. 3, No. 4, pp. 366-379, 2004.

  • Getsy S. Sara, R. Kalaiarasi, S. Neelavathy Pari and D. Sridharan, “Energy-Efficient Clustering and Routing in Mobile Wireless Sensor Network”, International Journal of Wireless and Mobile Networks, Vol. 2, No. 4, pp. 1-9, 2010.

  • R. Anitha and P. Kamalakkannan, “Eedbc-m: Enhancement of Leach Mobile Protocol with Energy Efficient Density-based Clustering for Mobile Sensor Networks”, International Journal of Computer Applications, Vol. 74, No. 14, pp. 19-27, 2013.

  • Changlin Ma, Nian Liu, Yuan Ruan, “An Energy-efficient Clustering Algorithm in Mobile Sensor Networks”, Proceedings of IEEE International Conference on Signal Processing, Communication and Computing, pp. 1-4, 2013.

  • Changlin Ma, Yuan Ruan and Huajing Fang, “Optimal Design of Mobile Sensor Networks based on Resource Constraint and Mobility”, Proceedings of 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, Vol. 2, pp. 360-363, 2013

  • Hyunsook Kim and Gyeongsan, “Cluster Head Selection Scheme for Minimizing the Changes of the Cluster Members considering Mobility in Mobile Wireless Sensor Networks”, Proceedings of 15th International Conference on Advanced Communication Technology, pp. 285-289, 2013.

  • M. Zuniga and B. Krishnamachari, “Analyzing the Transitional Region in Low Power Wireless Links”, Proceedings of First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, pp. 517-526, 2004.

  • Qingquan Zhang, Lingkun Fu, Yu Jason Gu, Lin Gu, Qing Cao, Jiming Chen and Tian He, “Collaborative Scheduling in Dynamic Environments using Error Inference”, IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 3, pp. 591-601, 2014.

  • Yu Gu, Jianwei Niu, Tian He and David Hung-Chang Du, “Achieving Asymmetric Sensing Coverage for Duty Cycled Wireless Sensor Networks”, IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 12, pp. 3076-3087, 2014.

  • Vinicius Galvao Guimaraes, Adolfo Bauchspiess, Renato Mariz de Moraes, “Dynamic Timed Energy Efficient and Data Collision Free MAC Protocol for Wireless Sensor Networks”, IEEE Latin America Transactions, Vol. 13, No. 2, pp. 416-421, 2015.

  • Ruitao Xie and Xiaohua Jia, “Transmission-Efficient Clustering Method for Wireless Sensor Networks using Compressive Sensing”, IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 3, pp. 806-815, 2014.

  • Christian Bettstetter, Hannes Hartenstein and Xavier Perez-Costa, “Stochastic Properties of the Random Waypoint Mobility Model”, Wireless Networks, Vol. 10, No. 5, pp. 555-567, 2004.

  • Ossama Younis, Marwan Krunz and Srinivasan Ramasubramanian, “Node Clustering in Wireless Sensor Networks: Recent Developments and Deployment Challenges”, IEEE Network, Vol. 20, No. 3, pp. 20-25, 2006.

  • Abdul Waheed Khan, Abdul Hanan Abdullah, Mohammad Abdur Razzaque and Javed Iqbal Bangash, “VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks”, IEEE Sensors Journal, Vol. 15, No. 1, pp. 526-534, 2015.


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  • Energy Efficient Centralized Dynamic Clustering Reservation MAC Protocol for MWSN

Abstract Views: 241  |  PDF Views: 3

Authors

G. Suma
Department of Telecommunication Engineering, Sri Siddhartha Academy of Higher Education, India
M. Siddappa
Department of Computer Science and Engineering, Sri Siddhartha Institute of Technology, India

Abstract


Mobile wireless sensor networks (MWSN) have recently emerged as a hot research topic as their communication links and topology change due to node mobility. In a dynamically changing environment it is essential to build energy efficient communication routes with least communication overheads. Energy is one of the most important concerns for MWSNs. To have a long lasting network lifetime, we propose a centralized, periodic, selective sensing and dynamic clustering algorithm for delay tolerant and high integrity MWSNs, aimed to enhance the connectivity and performance. All dynamically varying parameters such as location, number of nodes present in each virtual grid, residual energy are considered while forming clusters and selecting cluster head (CH). Reclustering and selection of CH is centralized and performed by sink. Cluster size is not constant and may vary from cluster to cluster in every round. If nodes in any grid is less, then nodes of neighboring grids are clubbed to form clusters. Reclustering is done in every round and to avoid data duplication, some nodes in every cluster are selected based on proximity and are not allowed to sense and transmit in that round. It is assumed in a close vicinity if more than one sensors are present they all generate same data as they sense the same physical quantity, this reduce redundant data generation sensing is performed only by selected nodes. Inter and intra communication slots are reserved depending on size of cluster by sink in every round. The algorithm is evaluated using stationary and mobile sink.

Keywords


MWSN, Dynamic Clustering, Mobile Sink, Dynamic TDMA Reservation, Selective Sensing.

References