Abstract
According to the traditional definition of Wireless Sensor Networks (WSNs), static sensors have limited the feasibility of WSNs in some kind of approaches, so the mobility was introduced in WSN. Mobile nodes in a WSN come equipped with battery and from the point of deployment, this battery reserve becomes a valuable resource since it cannot be replenished. Hence, maximizing the network lifetime by minimizing the energy is an important challenge in Mobile WSN. Energy conservation can be accomplished by different approaches. In this paper, we presented an energy conservation solution based on Cellular Automata. The main objective of this solution is based on dynamically adjusting the transmission range and switching between operational states of the sensor nodes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cunha, R.O., Silva, A.P., Loreiro, A.A.F., Ruiz, L.B.: Simulating Large Wireless Sensor Networks Using Cellular Automata. In: IEEE Proceedings of the 38th Annual Simulation Symposium (ANSS 2005), pp. 323–330 (April 2005)
Ye, W., Heidemann, J., Estrin, D.: Medium Access Control With Coordinated Adaptive Sleeping for Wireless Sensor Networks. IEEE/ACM Transaction on networking 12(3), 493–506 (2004)
Rucker, R., Walker, J.: Introduction to CelLab, May 10 (2002), http://www.fourmilab.ch/cellab/
Ye, F., Zhong, G., Lu, S., Zhang, L.: Energy Efficient Robust Sensing Coverage in Large Sensor Networks, Technical Report (2002)
Durand, B., Formenti, E., Grange, A., Róka, Z.: Number conserving cellular automata: new results on decidability and dynamics. Discrete Mathematics and Theoretical Computer Science AB, 129–140 (2003)
Min, R., Bhardwaj, M., Ickes, N., Wang, A., Chandrakasan, A.: The hardware and the network: total-system strategies for power aware wireless microsensors. In: Proceedings of IEEE CAS Workshop on Wireless Communications and Networking Pasadena, USA, pp. 36–42 (September 2002)
Bhardwaj, M., Garnett, T., Handrakasan, A.P.: Upper bounds on the lifetime of sensor networks. In: Proceedings of ICC 2001, Helsinki, Finlsnd, vol. 3, pp. 785–790 (June 2001)
Heinzelman, R., Chandrakasan, A., Balakrishnan, H.: Energyefficient communication protocol for wireless microsensor networks. In: Proceedings of HICSS 2000, Hawaii, USA, vol. 2, pp. 4–7 (January 2000)
Ruiz, L.B., Braga, T.R.M., Silva, F., Nogueira, J.M.S., Loureiro, A.A.F.: Service Management in Wireless Sensor Network. In: Operation and Management Symposium (LANOMS 2003), Foz do Iguaçu, PR, Brazil, pp. 55–62 (September 2003) ISBN: 85-902104-2-1
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Adabi, S., Adabi, S., Rezaee, A. (2010). Evaluating a Novel Cellular Automata-Based Distributed Power Management Approach for Mobile Wireless Sensor Networks. In: Papasratorn, B., Lavangnananda, K., Chutimaskul, W., Vanijja, V. (eds) Advances in Information Technology. IAIT 2010. Communications in Computer and Information Science, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16699-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-16699-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16698-3
Online ISBN: 978-3-642-16699-0
eBook Packages: Computer ScienceComputer Science (R0)