Maximizing the Network Lifetime by using Mobile Data Gathering in Wireless Sensor Networks
International Journal of Computer Science and Engineering |
© 2017 by SSRG - IJCSE Journal |
Volume 4 Issue 10 |
Year of Publication : 2017 |
Authors : S.Vanitha, N.Prem Kumar, A.Kanimozhi, M.Kannan |
How to Cite?
S.Vanitha, N.Prem Kumar, A.Kanimozhi, M.Kannan, "Maximizing the Network Lifetime by using Mobile Data Gathering in Wireless Sensor Networks," SSRG International Journal of Computer Science and Engineering , vol. 4, no. 10, pp. 15-18, 2017. Crossref, https://doi.org/10.14445/23488387/IJCSE-V4I10P104
Abstract:
In wireless networks, with the go forward of wireless communication skill, small size and high concert computing and communication plans like commercial laptops and personal computers are increasingly used in convention centers, conferences and electronic classrooms. In wireless ad-hoc networks, a collection of nodes with wireless communications and networking capability communicate with each other without the aid of any centralized administrator. The nodes are mechanical by battery with limited power reservoir. It becomes difficult to recharge or replace the batteries of the nodes hence energy conservation is essential. An energy efficient routing protocol balances node energy utilization to reduce energy consumption and increase the life of nodes thus increasing the network lifetime, reducing the routing delay and increasing the reliability of the packets reaching the destination. Wireless networks do not have any fixed communication infrastructure. For an active connection the end host as well as the intermediate nodes can be mobile. Therefore routes are subject to frequent disconnection. In such an surroundings it is imperative to diminish disruptions caused by altering topology for application using voice and video. Power Aware Routing enables the nodes to detect misbehavior like deviation from regular routing and forwarding by observing the status of the node. By exploit non-random behaviors for the mobility pattern that movable user show, state of network topology can be predict and perform route reconstruction proactively in a timely manner. In this paper we propose an Energy Efficient-Power Aware routing algorithm where we have integrated energy efficiency with power awareness parameters for routing of packets.
Keywords:
Network, Energy efficiency, routing protocol, communication, package,
References:
[1] C. Hua and T.-S. P. Yum, “Optimal routing and data aggregation for maximizing lifetime of wireless sensor networks,” IEEE/ACM Trans. Netw., vol. 16, no. 4, pp. 892– 903, Aug. 2008.
[2] Y. Wu, Z. Mao, S. Fahmy, and N. Shroff, “Constructing maximum- lifetime data-gathering forests in sensor networks,” IEEE/ ACM Trans. Netw., vol. 18, no. 5, pp. 1571–1584, Oct. 2010.
[3] Z. Zhang, M. Ma, and Y. Yang, “Energy-efficient multihop polling in clusters of two-layered heterogeneous sensor networks,” IEEE Trans. Comput., vol. 57, no. 2, pp. 231–245, Feb. 2008.
[4] N. Ahmed, S. Kanhere, and S. Jha, “The holes problem in wireless sensor networks: A survey,” ACM SIGMOBILE, vol. 9, no. 2, pp. 4–18, Apr. 2005.
[5] R. W. N. Pazzi and A. Boukerche, “Mobile data collector strategy for delay-sensitive applications over wireless sensor networks,” Comput. Commun., vol. 31, no. 5, pp. 1028–1039, Mar. 2008.
[6] M. Gatzianas and L. Georgiadis, “A distributed algorithm for maximum lifetime routing in sensor networks with mobile sink,” IEEE Trans. Wireless Commun., vol. 7, no. 3, pp. 984–994, Mar. 2008.
[7] M. Ma and Y. Yang, “SenCar: An energy-efficient data gathering mechanism for large-scale multihop sensor networks,” IEEE Trans. Parallel Distrib. Syst., vol. 18, no. 10, pp. 1476– 1488, Oct. 2007.
[8] M. Ma, Y. Yang, and M. Zhao, “Tour planning for mobile data gathering mechanisms in wireless sensor networks,” IEEE Trans. Vehicular Technol., vol. 62, no. 4, pp. 1472–1483, May 2013.
[9] S. Cui, A. J. Goldsmith, and A. Bahai, “Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks,” IEEE J. Sel. Areas Commun., vol. 22, no. 6, pp. 1089–1098, Aug. 2004.
[10] Y. Sun, W. Dai, C. Qiao, and L. Huang, “Joint virtual MIMO and data gathering for wireless sensor networks,” IEEE Trans. Parallel Distrib. Syst., vol. 26, no. 4, pp. 1034–1048, Apr. 1, 2015.
[11] D. Nguyen and M. Krunz, “A cooperative MIMO framework for wireless sensor networks,” ACM Trans. Sen. Netw., vol. 10, no. 3, pp. 1–28, Apr. 2014.
[12] M. Zhao and Y. Yang, “Optimization based distributed algorithm for mobile data gathering in wireless sensor networks,” IEEE. Trans. Mobile Comput., vol. 11, no. 10, pp. 1464–1477, Oct. 2012.
[13] M Zhao and Y. Yang, “Bounded relay hop mobile data gathering in wireless sensor networks,” IEEE Trans. Comput., vol. 61, no. 2, pp. 265–277, Feb. 2012.
[14] M. Zhao and Y. Yang, “Mobile data gathering with load balanced clustering and dual data uploading in wireless sensor networks,” IEEE Trans. Mobile Comput., vol. 14, no. 4, pp. 770–785, Apr. 1, 2015.
[15] T. Rappaport, Wireless Communications: Principles and Practice, 2nd ed. Englewood Cliffs, NJ, USA: Prentice-Hall 2002.