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Optimized Bandwidth Utilization for Real Time Applications in Wireless Sensor Networks

by Neeraj Kumar, Manoj Kumar, R. B. Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 6
Year of Publication: 2010
Authors: Neeraj Kumar, Manoj Kumar, R. B. Patel
10.5120/136-254

Neeraj Kumar, Manoj Kumar, R. B. Patel . Optimized Bandwidth Utilization for Real Time Applications in Wireless Sensor Networks. International Journal of Computer Applications. 1, 6 ( February 2010), 92-97. DOI=10.5120/136-254

@article{ 10.5120/136-254,
author = { Neeraj Kumar, Manoj Kumar, R. B. Patel },
title = { Optimized Bandwidth Utilization for Real Time Applications in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 6 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 92-97 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number6/136-254/ },
doi = { 10.5120/136-254 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:43:16.425043+05:30
%A Neeraj Kumar
%A Manoj Kumar
%A R. B. Patel
%T Optimized Bandwidth Utilization for Real Time Applications in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 6
%P 92-97
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor networks (WSNs) are special types of networks used in information gathering in military, industrial, and surveillance applications. Many such applications of WSNs require Quality of service (QoS) in terms of high bandwidth for real time applications including multimedia audio and video without much delay. These applications demand high packet delivery ratio and are extremely delay-sensitive. However, certain factors limit the ability of the multihop WSNs to achieve the desired goals. These factors include the delay caused by network congestion in the network, limited energy of the sensor nodes, packet loss due to collisions and link failure. In this paper, we propose an optimized bandwidth adaptation and utilization algorithm for real time applications in WSNs. The problem is formulated as linear programming (LP) together with specified constraints. Three types of applications (applications with strict delay requirements, applications with less stringent delay constraints and applications with delay tolerant capabilities) are considered for demonstration. Our claim is well supported with the simulation results carried on OMNET++ simulator.

References
  1. W. Zhao, J.A. Stankovic, K. Ramamritham, A window protocol for transmission for time-constrained messages, IEEE Transactions on Computers, 39:9, 1186–1203, 1990.
  2. D. Kandlur, K.G. Shin, D. Ferrari, Real-time communication in multihop networks, IEEE Transactions on Parallel and Distributed Systems, 1044–1056, 1994.
  3. C.E. Perkins, E.M. Royer, Ad-hoc on demand distance vector routing, Seconnd IEEE Workshop on Mobile Computing Systems and Applications(WMCSA’99), New Orleans, LA, February 1999.
  4. D.B. Johnson, D.A. Maltz, Dynamic source routing in ad-hoc wireless networks, Mobile Computing, Kluwer Academic Publishers, Dordrecht, 153–181 (Chapter 5), 1996.
  5. B. Karp, H.T. Kung, GPSR: greedy perimeter stateless routing for wireless networks, Proceedings AC Mobicom, Boston, MA, 2000.
  6. Y. Yu, R. Govindan, D. Estrin, Geographical and energy aware routing: a recursive data dissemination protocol for wireless sensor networks, UCLA Computer Science Department Technical Report UCLA/CSD-TR- 01-0023, May 2001.
  7. M. Zorzi, R.R. Rao, Geographic random forwarding (GeRaF) for ad hoc and sensor networks: multihop performance, IEEE Transactions on Mobile Computing 2: 2003.
  8. S.-J. Lee, M. Gerla, Split multipath routing with maximally disjoint paths in ad hoc networks, Technical Report in University of California, 2000.
  9. U. Bilstrup, P.-A. Wiberg, Routing Protocol for Wireless Real- Time Multihop Networks,www.hh.se/ide/publications/publ.files99/bilstrupWIP99. pdf
  10. T. He, J.A. Stankovic, C. Lu, T. Abdelzaher, SPEED: a real time routing protocol for sensor networks, University of Virginia Tech. Report CS-2002-09, March 2002.
  11. A. Shaikh, J. Rexford, K. Shin, Dynamics of quality-ofservice routing with inaccurate link-state information, Technical Report CSETR-350-97, Dept. of Electrical Engineering and Computer Science, the University of Michigan, Ann Arbor, MI, Nov. 1997.
  12. Q. Ma, P. Steenkiste, On path selection for traffic with bandwidth guarantees, Proceedings of the IEEE International Conference on Network Protocols, October 1997.
  13. Golubchik L, Lui J, Tung T, Chow A, Lee W, Multipath continuous media streaming: what are the benefits? Journal of Performance Evaluation, Mobile Netw Appl 13:274–284 283, 2008.
  14. Chen J, Chan S-H, Multipath routing for video unicast over bandwidth-limited networks. in proceedings of IEEE Globecom, 2001
  15. Chakareski J, Girod B, Server diversity in ratedistortion optimized media Streaming, in proceedings of the IEEE International Conference on Image Processing (ICIP), 2003
  16. Lee YC, Altunbasak Y, Mesereau RM, Optimal packet scheduling for multiple description coded video transmissions over lossy networks, in proceedings of IEEE Globecom, 2003.
  17. Neeraj Kumar, Manoj Kumar, R.B. Patel, Neural Network based Energy Efficient clustering and routing in wireless sensor networks, to appear in 1st IEEE international conference on network and communication (Netcom 2009), Chennai, India.
  18. Abinash Mahapatra, Kumar Anand, Dharma P. Agrawal, QoS and energy aware routing for real-time trafficin wireless sensor networks, computer communication, 29:437-445, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Bandwidth consumption Real time applications wireless sensor network