Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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DEESR: Dynamic Energy Efficient and Secure Routing Protocol for Wireless Sensor Networks in Urban Environments

  • Obaidat, Mohammad S. (Department of Computer Science & Software Engineering, Monmouth University) ;
  • Dhurandher, Sanjay K. (CAITFS, Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi) ;
  • Gupta, Deepank (CAITFS, Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi) ;
  • Gupta, Nidhi (CAITFS, Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi) ;
  • Asthana, Anupriya (CAITFS, Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi)
  • Received : 2010.09.05
  • Accepted : 2010.09.06
  • Published : 2010.09.30
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Abstract

The interconnection of mobile devices in urban environments can open up a lot of vistas for collaboration and content-based services. This will require setting up of a network in an urban environment which not only provides the necessary services to the user but also ensures that the network is secure and energy efficient. In this paper, we propose a secure, energy efficient dynamic routing protocol for heterogeneous wireless sensor networks in urban environments. A decision is made by every node based on various parameters like longevity, distance, battery power which measure the node and link quality to decide the next hop in the route. This ensures that the total load is distributed evenly while conserving the energy of battery-constrained nodes. The protocol also maintains a trusted population for each node through Dynamic Trust Factor (DTF) which ensures secure communication in the environment by gradually isolating the malicious nodes. The results obtained show that the proposed protocol when compared with another energy efficient protocol (MMBCR) and a widely accepted protocol (DSR) gives far better results in terms of energy efficiency. Similarly, it also outdoes a secure protocol (QDV) when it comes to detecting malicious nodes in the network.

Keywords

References

  1. Bhagwat, C. E., "Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for Mobile Computers", Proc of SIGCOMM94 Conf on Communications Architectures, Protocols and Applications, Vol.24, No.4, pp.234-244, October, 1994. https://doi.org/10.1145/190809.190336
  2. C. Intanagonwiwat, R. Govindan and D. Estrin, "Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks", Proc of ACM/IEEE Intl Conf on Mobile Computing and Networking (MOBICOM), pp.56-67, 2000.
  3. Chang, J.-H. T., "Energy Conserving Routing in Wireless Ad-Hoc Networks", INFOCOM00, pp.22-31, March, 2000.
  4. Gerla, C. R, "Adaptive Clustering for Mobile Wireless Networks", IEEE J. Select. Areas Communications, Vol.15, No.7, pp.1265-1275, September, 1997. https://doi.org/10.1109/49.622910
  5. J. Kulik, W. H., "Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks", ACM Wireless Networks, Vol.8, No.2-3, pp.169-185, 2002. https://doi.org/10.1023/A:1013715909417
  6. Khuller, S. B, "A Clustering Scheme for Hierarchical Control in Multi-hop Wireless Networks", Proc of IEEE INFOCOM, Vol.2, pp.1028-1037, April, 2001. https://doi.org/10.1109/INFCOM.2001.916296
  7. P. Jackquet, P. M, T. Clausen, A. Laouiti, A. Qayyum, L. Viennot, "Optimized Link State Routing Protocol for Ad Hoc Network", IEEE INMIC, pp.62-68, 2001. https://doi.org/10.1109/INMIC.2001.995315
  8. Perkins, C. E, Royer, E. M, " Ad-hoc on-demand distance vector routing", In Proc of WMCSA99: 2nd IEEE Workshop on Mobile Computing Systems and Applications, pp.90-100, February, 1999.
  9. A.P. Chandrakasan, A.C. Smith, and W.B. Heinzelman, "An Application-Specific Protocol Architecture for Wireless Microsensor Networks", IEEE Transactions on Wireless Communications, Vol.1, No.4, pp.660-670, October, 2002. https://doi.org/10.1109/TWC.2002.804190
  10. David B. Johnson and David A. Maltz, "Dynamic Source Routing in Ad Hoc Wireless Networks", In Mobile Computing, Tomasz Imielinski and Hank Korth (Editor), Kluwer Academic Publishers, pp.153-181, 1996.
  11. Zhang Li , Yu Zhen-Wei, Zhang Yang, Zhang Chun-Kai, "A Power-aware Adaptive Dynamic Routing Scheme for Wireless Ad Hoc Networks", Proc of IEEE Intl Conf Networking, Sensing and Control ICNSC'08, pp.966-970, April, 2008. https://doi.org/10.1109/ICNSC.2008.4525356
  12. Suresh Singh, Mike Woo, C. S. Raghavendra. "Power-aware routing in mobile ad hoc networks", Proc of 4th annual ACM/IEEE Intl Conf on Mobile computing and networking, pp. 181-190, October 1998.
  13. S. Yi, P. Naldurg, and R. Kravets, "Security-aware routing protocol for wireless ad hoc networks," Proceedings of the 2nd ACM International Symposium on Mobile Ad Hoc Networking & Computing, pp 299-302, Long Beach, CA, USA, October, 2001.
  14. M. S. Obaidat, and N. Boudriga," Security of e-Systems and Computer Networks, Cambridge University Press, Cambridge, UK, 2007.
  15. Adrian Perrig, Robert Szewczyk, J.D. Tygar, Victor Wen and David E. Culle, "SPINS: Security Protocols for Sensor Networks", Proceedings of 7th Annual International Conference on Mobile Computing and Networking, pp. 189-199, Rome, Italy, July, 2001.
  16. Sanjay K. Dhurandher, S. Misra, M. S. Obaidat and N. Gupta, "An Ant Colony Optimization Approach for Reputation and Quality-of-Service-Based Security in Wireless Sensor Networks", Security and Communication Networks, John Wiley & Sons, Vol.2, No.2, pp.215-224, March/April, 2009. https://doi.org/10.1002/sec.75
  17. Chris Karlof, Naveen Sastry, David Wagner, "TinySec: A Link Layer Security Architecture for Wireless Sensor Networks", Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, SenSys 2004, Baltimore, MD, USA, pp.162-175, November 3-5, 2004.
  18. Christos Xenakis, Evangelos Gazis, Lazaros Merakos, "Secure VPN Deployment in GPRS Mobile Network," Proc. European Wireless 2002, Florence, Italy, pp.293-300, February, 2002.
  19. UCLA, Computer Science DepartmentM. Takai, L. Bajaj, R. Ahuja, R. Bagrodia and M. Gerla, GloMoSim: A Scalable Network Simulation Environment, Technical report 990027, UCLA, Computer Science Department, 1999.
  20. GloMoSim: Global Mobile Information Systems Simulation Library. http://pcl.cs.ucla.edu/projects/glomosim/.
  21. R. Bargodia, R. Meyer, M. Takai, Y.-A. Chen, X. Zeng, J. Martin, H.Y. Song, "PARSEC: A Parallel Simulation Environment for Complex Systems", IEEE Computer, Vol.31, No.10, pp.77-85, 1998. https://doi.org/10.1109/2.722293

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