To Improve the Network Topology Lifetime in Wireless Sensor Network using Mobile Node Rotation

International Journal of Computer Science and Engineering

© 2016 by SSRG - IJCSE Journal

Volume 3 Issue 6

Year of Publication : 2016

Authors : R.Maharaja, K. Balasubramanian

10.14445/23488387/IJCSE-V3I6P101

How to Cite?

R.Maharaja, K. Balasubramanian, "To Improve the Network Topology Lifetime in Wireless Sensor Network using Mobile Node Rotation," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 6, pp. 1-4, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I6P101

Abstract:

The fundamental test is remote sensor systems (WSNs) is stretching out system lifetime because of sensor hubs having constrained force supplies. To expanding the WSN lifetime is confused in light of the fact that hubs regularly encounter differential force utilization. In directing topology the hubs are nearer to the sink hub is transmit more information. The hubs are nearer to the sink hub devour power contrast and hubs more remote from the sink. We propose portable hub turn, another strategy for utilizing minimal effort versatile sensor hubs to address differential force utilization and augment WSN lifetime. In particular, we propose to pivot the hubs through the powerful utilization areas. We propose productive calculations for single and numerous rounds of turns. Our broad recreations demonstrate that portable hub pivot can expand WSN topology lifetime by more than eight times all things considered which is essentially superior to anything existing options

Keywords:

Our broad recreations demonstrate that portable hub pivot can expand WSN topology lifetime by more than eight times all things considered which is essentially superior to anything existing options.

References:

[1] R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler, “An analysis of a large scale habitat monitoring application,” in SenSys, 2004, pp. 214–226.
2] M. Suzuki, S. Saruwatari, N. Kurata, and H. Morikawa, “A high-density earthquake monitoring system using wireless sensor networks,” in Proceedings of the 5th international conference on Embedded networked sensor systems, ser. SenSys’07, 2007, pp. 373–374.
[3] L. Filipponi, S. Santini, and A. Vitaletti, “Data collection in wireless sensor networks for noise pollution monitoring,” in DCOSS, 2008, pp. 492–497.
[4] L. Luo, Q. Cao, C. Huang, T. F. Abdelzaher, J. A. Stankovic, and M. Ward, “Enviromic: Towards cooperative storage and retrieval in audio sensor networks,” in ICDCS, 2007, p. 34.
[5] A. A. Somasundara, A. Ramamoorthy, and M. B. Srivastava, “Mobile element scheduling with dynamic deadlines,” IEEE Transactions on Mobile Computing, vol. 6, no. 4, pp. 395–410, 2007
[6] K. Dantu, M. Rahimi, H. Shah, S. Babel, A. Dhariwal, and G. S. Sukhatme, “Robomote: enabling mobility in sensor networks,” in IPSN, 2005, pp. 404–409.
[7]http://www.k-team.com/robots/khepera/index.html. [8] J.-H. Kim, D.-H.Kim, Y.-J.Kim, and K.-T. Seow, Soccer Robotics. Springer, 2004.
[9] D. Jea, A. A. Somasundara, and M. B. Srivastava, “Multiple controlled mobile elements (data mules) for data collection in sensor networks,” in DCOSS, 2005, pp. 244–257.
[10] S. Jain, R. Shah, W. Brunette, G. Borriello, and S. Roy, “Exploiting mobility for energy efficient data collection in wireless sensor networks,” MONET, vol. 11, no. 3, pp. 327–339, 2006.
[11] J. Luo and J.-P.Hubaux, “Joint mobility and routing for lifetime elongation in wireless sensor networks,” in INFOCOM, 2005, pp. 1735–1746.
[12] Y. Gu, D. Bozdag, and E. Ekici, “Mobile element based differentiated message delivery in wireless sensor networks,” in WoWMoM, 2006, pp. 83–92.
[13] A. Kansal, D. D. Jea, D. Estrin, and M. B. Srivastava, “Controllably mobile infrastructure for low energy embedded networks,” IEEE Transactions on Mobile Computing, vol. 5, no. 8, pp. 958–973, 2006.
[14] G. Xing, T. Wang, Z. Xie, and W. Jia, “Rendezvous planning in mobility-assisted wireless sensor networks,” in RTSS ’07: Proceedings of the 28th IEEE International Real-Time Systems Symposium, 2007, pp. 311–320