CFP last date
20 May 2024
Reseach Article

Data Communication in Mobile Wireless Sensor Networks

by Venkatramana Bhat P., Shridhar Aithal, Sudhakar Adiga
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 17
Year of Publication: 2012
Authors: Venkatramana Bhat P., Shridhar Aithal, Sudhakar Adiga
10.5120/8985-3164

Venkatramana Bhat P., Shridhar Aithal, Sudhakar Adiga . Data Communication in Mobile Wireless Sensor Networks. International Journal of Computer Applications. 56, 17 ( October 2012), 34-41. DOI=10.5120/8985-3164

@article{ 10.5120/8985-3164,
author = { Venkatramana Bhat P., Shridhar Aithal, Sudhakar Adiga },
title = { Data Communication in Mobile Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 17 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number17/8985-3164/ },
doi = { 10.5120/8985-3164 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:06.863036+05:30
%A Venkatramana Bhat P.
%A Shridhar Aithal
%A Sudhakar Adiga
%T Data Communication in Mobile Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 17
%P 34-41
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A Mobile Wireless Sensor Network (M-WSN) derives its name by considering either mobile sink or mobile sensor nodes within the Wireless Sensor Network (WSN). As the sensor nodes are energy constrained, energy efficiency is the main aspect to be considered in any applications. By considering mobile sensor nodes in WSN, we can have better energy efficiency, improved coverage, and enhanced target tracking in Wireless Sensor Network. Due to mobility of nodes, a mobile WSN has dynamic topology. For all data gathering applications, the topology of mobile WSN depends on either the path of mobile sink or position of mobile nodes. Hence whole WSN topology keeps on changing as either sink is mobile or sensor nodes are mobile. That is, we have dynamic topology. Depending on application scenario, we may use a mobile sink to collect information from a static WSN or a dynamic WSN. In general static WSN uses multihops for data communication from sensor node to sink. Hence sensor node closer to sink is always in use and its energy gets exhausted quickly, thereby it dies down first, breaking link to sink and whole network collapses. This is one of the serious problems to be considered. Mobile WSN is one of approach that can increase life time of network because nodes close sink keeps on changing so that no particular node will be always close to sink. It is also possible by controlled mobility of nodes, all nodes in turn can take role of being close to sink and provide necessary services. Also by providing mobility to nodes in controlled manner it also possible to reduce number of hops to sink from a node, there by errors in communication gets reduced. In this article we consider two general application areas, studying the conditions of disastrous area where in static sensor nodes are deployed in disastrous area and a mobile sink agent which is outside the boundary moves around predefined path to gather information's of disastrous area, a battle field where in two way data communication between captain and soldiers is required where both captain and soldiers may have low mobility. The networking required in both cases is mobile WSN. We propose proper architecture and data communication in these contexts.

References
  1. Marzieh Veyseh, Belle Wei and Nader F. Mir, An Information Management Protocol to control Routing and Clustering in Sensor Networks, Journal of computing and information Technology – CIT 13,2005, 1,53-68
  2. R. Nagpal, Daniel Coore, AI Memo 1026, MIT 1997 An algorithm for group formation in Amorophous Computer
  3. Saad Ahmed Munir, Biao Ren, Weiwei Jiao, Bin Wang, Dongliang Xie, Jian Ma Mobile Wireless Sensor Network: Architecture and Enabling Technologies for Ubiquitous Computing IEEE 21st International Conference on Advanced Information Networking and Workshops (AINAW'07) 0-7695-2847-3/07 $20. 00 © 2007.
  4. I. F. Akyldiz, W. Su etal, A Survey on Sensor Networks,IEEE Communications Magazine, Vol. 40,Issue 8,August 2002
  5. Nader F. Mir, "Computer and Communication Networks", Pearson Education, 2007.
  6. Laiali Almazaydesh,Eman Abdelfattah,Manal AL-Bzoor and Amer Al-Rahayfch, Performance Evaluation of Routing Protocols in Wireless Sensor Networks, International Journal of Computer Science and Information Technology,Volume 2,Number 2,April 2010.
  7. Jichuan Zhao,Ahmet T. Erdogan and Tughrul Arslan, A Novel Application Specific Network Protocol For Wireless Sensor Networks,IEEE 2005.
  8. W. RabinerHienzelman,Ananth Chandrashekaran and Hari Balakrishna, Energy Efficient Communication Protocol For Wireless Sensor Networks, Hawaii International Conference on system sciences Jan 4-7 2000.
  9. Bandyopadhyay, S and coyle, E. J. ,An energy efficient hierarchical clustering algorithm For Wireless Sensor Networks,Twenty second Annual Joint Conf. of the IEEE Computer and Commun. Soc. , Vol. 3, pp 1713-1723,April 2003.
  10. H¨useyin Akcan CIS Department Polytechnic University GPS-Free Node Localization in Mobile Wireless Sensor Networks in MobiDE'06, June 25, 2006, Chicago, Illinois, USA2006 ACM 1
  11. Lei Wang 1 and Qingzheng Xu GPS-Free Localization Algorithm for Wireless Sensor Networks 1,2 Sensors 2010, 10, 5899-5926; doi:10. 3390/s100605899 sensors ISSN 1424-8220
  12. Pallapa Venkataram,Sunil kumar S. Manvi Communication Protocol Engineering. PHI Publication,New Delhi 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Sensor node Clustering Mobile Wireless Sensor Network Dynamic grouping Leader – Followers – Mediator