ABSTRACT
Wireless Sensor Networks (WSNs) are limited in their energy, computation and communication capabilities. Energy efficiency and balancing are the primary challenges for WSNs since the sensor nodes cannot be easily recharged once they are deployed [3]. The data forwarding techniques play an important role in determining the energy consumption of the network. These techniques are employed to transmit the sensed information to the final destination. In this work, we analyze the behavior of one such technique known as Multihop/Direct Forwarding (MDF) [6], when applied to the sensor network deployed in three dimensional fields. The simulation is performed in MATLAB and the results are evaluated extensively against other data forwarding techniques such as Closest Forwarding (CF), Direct Forwarding (DF) and Multihop Forwarding (MF). The results reveal that the MDF scheme in 3D has lesser energy consumption than other data forwarding techniques. Moreover, it effectively balances the consumption of energy among all nodes. The network lifetime is also prolonged in case of MDF compared to other data forwarding techniques when applied in three dimensional fields.
- Akyildiz. I. F. and Vuran. M. C., "Wireless Sensor Networks," 1st Edition, John Wiley & Sons, Ltd, Chichester, 2010. Google ScholarDigital Library
- A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler and J. Anderson, "Wireless Sensor Networks for Habitat Monitoring", Proc. ACM Workshop on Wireless Sensor Networks and Applications, pp. 88--97, Atlanta (USA), September 2002 Google ScholarDigital Library
- A. Warrier, S. Park J. Mina and I. Rheea, "How much energy saving does topology control offer for wireless sensor networks? -- A practical study", Elsevier/ACM Computer Communications, Vol. 30 (14-15), Pp. 2867--2879, 15 October 2007 Google ScholarDigital Library
- Chang, N. and Liu, M. 2004. Revisiting the TTL-based controlled flooding search: Optimality and randomization. In Proceedings of the 10th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom '04). IEEE, 85--99. Google ScholarDigital Library
- D. Ganesan, A. Cerpa, W. Ye, Y. Yu, J. Zhao, D. Estrin, "Networking Issues in Wireless Sensor Networks", Journal of Parallel and Distributed Computing, Vol. 64 (2004), pp. 799--814. Google ScholarDigital Library
- Deng, J. 2009. Multihop/Direct Forwarding (MDF) for Static Wireless Sensor Networks. ACM Trans. Sens. Networks, 5, 4, Article 35 (November 2009) Google ScholarDigital Library
- Feeney, L. M. and Nilsson. 2001. Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In Proceedings of the 20th Conference of the IEEE Communications Society (Infocom'01). Vol. 3. IEEE, 1548--1557.Google ScholarCross Ref
- Gao, J. L. 2002. Analysis of energy consumption for ad hoc wireless sensor networks using a bit-meter-per-joule metric. IPN Progress Report 42-150, California Institute of Technology, Jet Propulsion Lab.Google Scholar
- G. Simon, M. Maroti, A. Ledeczi, G. Balogh, B. Kusy, A. Nadas, G. Pap, J. Sallai, K. Frampton, "Sensor network-based counter sniper system", In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (Sensys), Baltimore, MD, 2004 Google ScholarDigital Library
- G. Werner-Allen, K. Lorincz, M. Ruiz, O. Marcillo, J. Johnson, J. Lees, M. Welsh, "Deploying a Wireless SensorNetwork on an Active Volcano", IEEE Internet Computing, Special Issue on Data-Driven Applications in Sensor Networks, March/April 2006. Google ScholarDigital Library
- Heinzelman, W. B., Chandrakasan, A. P., and Balakrishnan, H. 2002. Application-specific protocol architecture for wireless micro sensor networks. IEEE Trans. Wireless. Comm. 1, 4, 660--670. Google ScholarDigital Library
- J. Li, P. Mohapatra, "Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Sensor Networks", Pervasive Mobile Computing, 3(3):233--254, June 2007. Google ScholarDigital Library
- Perillo, M., Cheng, Z., and Heinzelman. 2004. on the problem of unbalanced load distribution in wireless sensor networks. In Proceedings of IEEE Workshop on Wireless Ad Hoc and Sensor Networks (GLOBECOM). IEEE, 74--79.Google Scholar
- Perillo, M., Cheng, Z., and Heinzelman, W. 2005. An analysis of strategies for mitigating the sensor network hot spot problem. In Proceedings of the 2nd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services. IEEE, 474--478. Google ScholarDigital Library
- R. Ramanathan and R. Hain, "Topology control of multihop wireless networks using transmit power adjustment," In Proceedings of the Nineteenth International Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM), 2000.Google Scholar
- Sankar, A. and Liu, Z. 2004. Maximum lifetime routing in wireless ad-hoc networks. In Proceedings of the 23rd Conference of the IEEE Communications Society (Infocom'04). IEEE, 1089--1098Google Scholar
- V. Rodoplu and T. Meng, "Minimum energy mobile wireless networks," In Proceedings of the IEEE International Conference on Communications, 1998.Google Scholar
Index Terms
- Multihop/direct forwarding for 3D wireless sensor networks
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