Research Article | Open Access | Download PDF
Volume 4 | Issue 5 | Year 2013 | Article Id. IJCTT-V4I5P100 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I5P100
A Parametric Chain based Routing Approach for Underwater Sensor Network
Aarti, Sanjiv Kumar Tomar
Citation :
Aarti, Sanjiv Kumar Tomar, "A Parametric Chain based Routing Approach for Underwater Sensor Network," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 5, pp. 1492-1495, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I5P100
Abstract
A sensor network is one of the critical networks that is based on hardware components as well the energy parameters. Because of this, such network requires the optimization in all kind communication to improve the network life. In case of underwater sensor network, the criticality of network is also increased because of the random floating movement of the nodes. In this work, a composition of the multicast or broadcast communication is presented by the generation of aggregative path. The presented work is about to define a new chain based aggregative routing approach to provide the effective communication over the network. In this work, an effective aggregative path is suggested under the different parameters of energy, distance and congestion analysis. Based on these parameters a trustful aggregative route will be generated so that the network life will be improved.
Keywords
Underwater WSN, Aggregative Path, Congestion Free, Effective Routing
References
[1] Mohamed Watfa , William Daher and Hisham Al Azar “A sensor network data aggregation Technique”. International Journal of Computer Theory and Engineering (2009), Volume: 1, Issue: 1, Pages: 19-26
[2] Steffen Peter and Krzysztof Piotrowski and Peter Langendoerfer “On Concealed Data Aggregation for Wireless Sensor Network”
[3] Vivek Mhatre, Catherine Rosenberg “Homogeneous vs Heterogeneous Clustered Sensor Networks: A Comparative Study” Communications, 2004 IEEE International Conference on communications
[4] Guofeng Hou, K. Wendy Tang “Evaluation of LEACH Protocol Subject to Different Traffic Models” Optical Internet and Next Generation Network, 2006. COIN-NGNCON 2006. jeju, 281 - 283
[5] S. Lindsey and C. Raghavendra, “PEGASIS: Power-Efficient GAthering in Sensor Information Systems,” IEEE Aerospace Conf. Proc., 2002, vol. 3, 9-16, pp. 1125-30, April 2002.
[6] L.F Akyildiz, W.SU , Y .Sankarasubramaniam , and E.cayirci , A Survey on sensor network , communication magazine, ieee,vol.40,pp. 102-114,2002.
[7] I.F.Akyildiz, W.Su, Y. Sankarasubramaniam and E. Cayirci, "Wireless sensor networks: a survey," Computer Networks,Elsevier, vol. 38, pp. 393-422, 2002.
[8] Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal, "Wireless sensor network survey,"Computer Networks,Elsevier, vol. 52, pp. 22922330, 2008.
[9] K. Martinez,J.K. Hart, and R. Ong, "Environmental Sensor Networks," Computer Magazine,IEEE, vol. 37, no. 8, pp. 50-56, 2004.
[10] D. Culler, D. Estrin, M.Srivastava, "Overview of Sensor Networks," Computer Magazine,IEEE, vol. 37, no. 8, pp. 41-49, August 2004.
[11] J. L.Hill, "System architecture for wireless sensor networks," University of California, Berkeley, Ph.D.dissertation 2003.
[12] http://www.xbow.com.
[13] IEEE Standard 802.15.4, "Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low- Rate Wireless Personal Area Networks (LR-WPANs)," 2006.
[14] Brian Otis, Jan Rabaey, Ultra-Low Power Wireless Technologies for Sensor Networks.: Springer, 2007.