Environments Aware for Prolonging the Lifetime of Sensor Nodes Deployed in WSNs

Abstract

Providing a pretty adequate environment condition between the transmission and the receiver for a WSN (wireless sensor network), in which deployed sensor nodes and fusion center, is investigated in the paper. Moreover, an algorithm promotes the energy efficient, increases the accuracy of sensing data and prolongs the lifetime of sensor nodes deployed over an WSNs is proposed. On the basis of adopting sensor management, which involves sensor movement sequences, sensor location arrangement, lifetime requirement for sensor nodes deploy surveillance environment, and the data fusion center, are addressed too. Simulation results from the lifetime performance for sensor nodes defeated by parameters about the environment around the WSNs are illustrated. Parameters aforementioned are including sensing distance, path loss factor, number bits of a transmitted packet, and interference suffering from the path of data transmission etc. Furthermore, the algorithm of sensor location arrangement is modified for the purpose of improving the lifetime performance in WSNs environments. In addition, simulation results show that the proposed algorithm in this paper is not only definitely to improve the energy efficient sufficiently, but the sensing accuracy and the lifetime performance of the sensor nodes are also prolonged significantly.

Share and Cite:

J. Chen and L. Yeh, "Environments Aware for Prolonging the Lifetime of Sensor Nodes Deployed in WSNs," Engineering, Vol. 4 No. 2, 2012, pp. 100-106. doi: 10.4236/eng.2012.42013.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] IEEE, IEEE 802.15 WPAN? Task Group 4 (TG4), http://www.ieee802.org/15/pub/TG4.html
[2] X. Wang, et al., “On Data Fusion and Lifetime Constrains in Wireless Sensor Networks,” Proceeding of IEEE International Conference on Communications, Glasgow, 24-28 June 2007, pp. 3942-3947.
[3] W. R. Heinzelman, A. Chandrakasan and H. Balakrish- man, “An Application-Specific Protocol Architecture for Wireless Micro Sensor Network,” IEEE Transaction on Wireless Communications, Vol. 1, No. 4, 2002, pp. 660- 670. doi:10.1109/TWC.2002.804190
[4] X. D. Wang, et al., “On Data Fusion and Lifetime Constraints in Wireless Sensor Net-work,” Proceeding of IEEE International Conference on Com-munications, Glasgow, 24-28 June 2007, pp. 3942-3947,.
[5] J.-F. Chamberland and V. V. Veeravalli, “Asymptoic Re- sults for Decentralized Detection in Power Constrained Wireless Sensor Networks,” IEEE Journal on Selected Areas in Communications, Vol. 22, No. 6, 2004, pp. 1007- 1015. doi:10.1109/JSAC.2004.830894
[6] J. Li and G. AlRegib, “Function-Based Network Lifetime for Estimation in Wireless Sensor Networks,” IEEE Signal Processing Letters, Vol. 15, 2008, pp. 533-536. doi:10.1109/LSP.2008.926499
[7] S. Basagni, A. Carosi, E. Melachrinoudis, C. Petrioli and Z. M. Wang “Controlled Sink Mobility for Prolonging Wireless Sensor Networks Lifetime,” Wireless Networks, Vol. 14, No. 6, 2008, pp. 831-858. doi:10.1007/s11276-007-0017-x
[8] Y. Y. Yang, M. I. Fonoage and M. Cardei “Improving Network Lifetime with Mobile Wireless Sensor Networks,” Computer Communications, Vol. 33, No. 4, 2010, pp. 409- 419. doi:10.1016/j.comcom.2009.11.010
[9] Y. S. Yun and Y. Xia, “Maximizing the Lifetime of Wireless Sensor Networks with Mobile Sink in Delay-Tolerant Applications,” IEEE Transactions on Mobile Computing, Vol. 9, No. 9, 2010, pp. 1308-1318.
[10] M. Marta and M. Cardei, “Using Sink Mobil-ity to Increase Wireless Sensor Networks Lifetime,” World of Wireless, Mobile and Multimedia Networks, Newport Beach, 23-26 June 2008, pp. 1-10.
[11] Y. Z. Bi, J. W. Niu, L. M. Sun, H. F. Wei and Y. Sun, “Moving Schemes for Mobile Sinks in Wireless Sensor Networks,” IEEE International Performance, Computing, and Communications Conference, Los Angeles, 11-13 April 2007, pp. 101-108.
[12] T. Yang, M. Ikeda, G. Mino, L. Barolli, A. Durresi and F. Xhafa, “Performance Evaluation of Wireless Sensor Networks for Mobile Sink Considering Consumed Energy Metric,” IEEE International Conference on Advanced Information Networking and Applications Workshops, Perth, 20-23 April 2010, pp. 245-250.
[13] S. Maheswararajah and S. Halgamuge, “Sensor Scheduling for Target Tracking Using Particle Swarm Optimization,” IEEE 63rd Vehicular Technology Conference, Vol. 2, Melbourne, 7-10 May 2006, pp. 573-577.
[14] T. S. Rappa-port, “Wireless Communication, Principles and Practice,” 2nd Edition, Prentice Hall Inc., Upper Saddle River, 2002.
[15] M. Nakagami, “The m-Distribution—A General Formula of Inten-sity Distribution of Rapid Fading,” In: W. G. Hoffman, Ed., Statistical Methods of Radio Wave Propagation, Pergamon Press, New York, 1960, pp. 3-36.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.