Mobile Sink Based Coverage and Connectivity to Maximize Network Lifetime of Wireless Sensor Network
S Abirami
PG Student, Department of Electronics and Communication Engineering, VV College of Engineering, Tuticorin Dist, India
S Thilagavathi
Assistant Professor, Department of Electronics and Communication Engineering, VV College of Engineering, Tuticorin Dist, India
Receiving Date:
2016-06-22
Acceptance Date:
2016-08-02
Publication Date:
2016-09-07
Download PDF
Abstract
Wireless sensor network is a wireless network that consists of base station and numbers of nodes (wireless sensors).These networks are used to monitor physical or environmental conditions like sound, pressure, temperature and cooperatively pass data through the network to a main location. Coverage usually explains how well a sensor network will monitor a field of interest. It can be thought of as a measure of quality of service. In addition to coverage, it is important for a sensor network to maintain connectivity. In this paper, a meridian cover tree (MCT) algorithm is proposed which is used to enhance the coverage as well as the connectivity of each sensing node by dynamically forming routing cover trees. The nodes in each disjoint set is able to monitor all the discrete point of interests. The discrete point of interests sense the data and transmit to the cluster head which gets the data from the disjoint sets of sensor node and transmit it to the peak point. Mobile sink collects the data directly from the polling point, so that energy consumption among node is reduced and network lifetime is improved. The simulation is done using network simulator-2 and graph is plotted between time vs. packet loss and throughput and energy drained and message inter arrival time.
Keywords:
coverage and connectivity; disjoint set; mobile sink; packet loss.
References
- W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Trans. Wireless Commun., vol. 1, no. 4, pp. 660–670, Oct. 2002.
- J.-L. Liu and C. V. Ravishankar, “LEACH-GA: Genetic algorithm-based energy- efficient adaptive clustering protocol for wireless sensor networks,” Int. J. Mach. Learn. Comput., vol. 1, no. 1, pp. 79– 85, Apr. 2011.
- K. G. Vijayvargiya and V. Shrivastava, “An amend implementation on LEACH protocol based on energy hierarchy,” Int. J. Current Eng. Technol., vol. 2, no. 4, pp. 427–431, Dec. 2012.
- J.-W. Kim, J.-S. In, K. Hur, J.-W. Kim, and D.-S. Eom, “An intelligent agent-based routing structure for mobile sinks in WSNs,” IEEE Trans. Consum. Electron., vol. 56, no. 4, pp. 2310–2316, Nov. 2010.
- W. Liang, J. Luo, and X. Xu, “Prolonging network lifetime via a controlled mobile sink in wireless sensor networks,” in Proc. IEEE GLOBECOM, Miami, FL, USA, Dec. 2010.
- B. Nazir and H. Hasbullah, “Mobile sink based routing protocol (MSRP) for prolonging network lifetime in clustered wireless sensor network,” in Proc. ICCAIE, Kuala Lumpur, Malaysia, Dec. 2010, pp. 624–629.
- S. Mottaghi and M. R. Zahabi, “Optimizing LEACH clustering algorithm with mobile sink and rendezvous nodes,” AEU-Int. J. Electron. Commun., vol. 69, no. 2, pp. 507–514, Feb. 2014
- M. R. Jafri, N. Javaid, A. Javaid, and Z. A. Khan, “Maximizing the lifetime of multi-chain PEGASIS using sink mobility,” World Appl. Sci. J., vol. 21, no. 9, pp. 1283–1289, Mar. 2013.
- Q. Zhao and M. Gurusamy, “Lifetime maximization for connected target coverage in wireless sensor networks,” IEEE/ACM Trans. Netw., vol. 16, no. 6, pp. 1378–1391, Dec. 2008.
- I.Cardei and M. Cardei, “Energy-efficient connected-coverage in wireless sensor networks,” Int. J. Sensor Netw., vol. 3, no. 3, pp. 201–210, Jun. 2008.
- P. Ostovari, M. Dehghan, and J. Wu, “Connected point coverage in wireless sensor networks using robust spanning trees,” in Proc. 31st Int. Conf. Distrib. Comput. Syst. Workshops (ICDSC), Jun. 2011, pp. 287–293.
- N. Jaggi and A. A. Abouzeid, “Energy-efficient connected coverage in wireless sensor networks,” in Proc. 4th Asian Int. Mobile Comput. Conf. (AMOC), 2006, pp. 77–86.
- D. Zorbas and C. Douligeris, “Connected coverage in WSNs based on critical targets,” Comput. Netw., vol. 55, no. 6, pp. 1412–1425, Apr. 2011.
- B. B. Misra, A. K. Nayak, and S. C. Rai, “Achieving energy efficiency by self-adjusting sensing range and positioning in wireless sensor networks,” in Proc. World Congr. Inform. Commun. Technol. (WICT), Oct./Nov. 2012, pp. 531–536.
- T. Rappaport, Wireless Communications: Principles & Practice. Englewood Cliffs, NJ, USA: Prentice-Hall, 1996.
- W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Trans. Wireless Commun., vol. 1, no. 4, pp. 660–670, Oct. 2002.
Back
