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Performance Evaluation of Mobile Base Station under different Network Sizes on Cluster-Based Wireless Sensor Networks

Year 2016, Volume: 1 Issue: 3, 1 - 9, 20.09.2016
https://doi.org/10.28978/nesciences.286025

Abstract

The position of the base station (BS) in wireless sensor networks (WSNs) has a significant
impact on network lifetime. This paper suggests a mobile BS positioning algorithm for clusterbased
WSNs, which considers both the location and the remaining energy level of the cluster
heads in the network and evaluate the performance of the algorithm under different values of
network sizes, including 100m x 100m, 200m x 200m and 300m x 300m. Simulations are
conducted by using OMNeT++ and proposed method is compared with two different static BS
positions, including central and external, on HEED protocol. The results show that mobile BS
performs better than both central and external BS positions under all network sizes. Besides,
the performance difference between the proposed method and the others increases as the size
of the network increases, which demonstrates that the proposed mobile BS positioning also
provides scalability. 

References

  • Abasıkeleş-Turgut, I. (2016). The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs. Journal of Advances in Computer Networks (JACN), Vol.4, Issue 1, pp. 46-51, ISSN: 1793-8244.
  • Cayirpunar, O., Urtis, E. K. & Tavli, B. (2013). Mobile base station position optimization for network lifetime maximization in wireless sensor networks. In Signal Processing and Communications Applications Conference (SIU), 21st (pp. 1-4). IEEE.
  • Heinzelman, W. R., Chandrakasan, A. & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In System sciences Proceedings of the 33rd annual Hawaii international conference on (pp. 10-pp). IEEE.
  • Liang, W., Luo, J. & Xu, X. (2010). Prolonging network lifetime via a controlled mobile sink in wireless sensor networks. In Global Telecommunications Conference, IEEE (pp. 1-6). IEEE.
  • Luo, J. & Hubaux, J. P. (2005). Joint mobility and routing for lifetime elongation in wireless sensor networks. In INFOCOM 2005, 24th annual joint conference of the IEEE computer and communications societies. Proceedings IEEE (Vol. 3, pp. 1735-1746). IEEE.
  • Mollanejad, A., Khanli, L. M. & Zeynali, M. (2010) DBSR: Dynamic base station Repositioning using Genetic algorithm in wireless sensor network. Computer Engineering and Applications (ICCEA), Second International Conference on IEEE.
  • Salim, F. A. & Badran, A. A. (2015). Impact of using Mobile Sink on Hierarchical Routing Protocols for Wireless Sensor Networks. International Journal of Advanced Science and Technology, 77, 37-48.
  • Tohma, K., Aydin, M. N. & Abasıkeleş-Turgut, I. (2015). Improving the LEACH protocol on wireless sensor network. In Signal Processing and Communications Applications Conference (SIU), 23th (pp. 240-243). IEEE.
  • Tohma, K., Abasıkeleş-Turgut, I. & Kutlu, Y. (In Press). A Novel Dynamic Base Station Positioning Method For Wireless Sensor Networks. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi (In Press).
  • Varga, H. A. (2001). The OMNeT++ discrete event simulation system. In Proceedings of the European simulation multi conference (Vol. 9, No. S 185, p. 65). sn.
  • Wu, X. & Chen, G. (2007). Dual-sink: using mobile and static sinks for lifetime improvement in wireless sensor networks. In Computer Communications and Networks. ICCCN 2007. Proceedings of 16th International Conference on (pp. 1297-1302). IEEE.
  • Younis, O. & Fahmy, S. (2004). HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Mobile Computing, IEEE Transactions on, 3(4), 366-379.
Year 2016, Volume: 1 Issue: 3, 1 - 9, 20.09.2016
https://doi.org/10.28978/nesciences.286025

Abstract

References

  • Abasıkeleş-Turgut, I. (2016). The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs. Journal of Advances in Computer Networks (JACN), Vol.4, Issue 1, pp. 46-51, ISSN: 1793-8244.
  • Cayirpunar, O., Urtis, E. K. & Tavli, B. (2013). Mobile base station position optimization for network lifetime maximization in wireless sensor networks. In Signal Processing and Communications Applications Conference (SIU), 21st (pp. 1-4). IEEE.
  • Heinzelman, W. R., Chandrakasan, A. & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In System sciences Proceedings of the 33rd annual Hawaii international conference on (pp. 10-pp). IEEE.
  • Liang, W., Luo, J. & Xu, X. (2010). Prolonging network lifetime via a controlled mobile sink in wireless sensor networks. In Global Telecommunications Conference, IEEE (pp. 1-6). IEEE.
  • Luo, J. & Hubaux, J. P. (2005). Joint mobility and routing for lifetime elongation in wireless sensor networks. In INFOCOM 2005, 24th annual joint conference of the IEEE computer and communications societies. Proceedings IEEE (Vol. 3, pp. 1735-1746). IEEE.
  • Mollanejad, A., Khanli, L. M. & Zeynali, M. (2010) DBSR: Dynamic base station Repositioning using Genetic algorithm in wireless sensor network. Computer Engineering and Applications (ICCEA), Second International Conference on IEEE.
  • Salim, F. A. & Badran, A. A. (2015). Impact of using Mobile Sink on Hierarchical Routing Protocols for Wireless Sensor Networks. International Journal of Advanced Science and Technology, 77, 37-48.
  • Tohma, K., Aydin, M. N. & Abasıkeleş-Turgut, I. (2015). Improving the LEACH protocol on wireless sensor network. In Signal Processing and Communications Applications Conference (SIU), 23th (pp. 240-243). IEEE.
  • Tohma, K., Abasıkeleş-Turgut, I. & Kutlu, Y. (In Press). A Novel Dynamic Base Station Positioning Method For Wireless Sensor Networks. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi (In Press).
  • Varga, H. A. (2001). The OMNeT++ discrete event simulation system. In Proceedings of the European simulation multi conference (Vol. 9, No. S 185, p. 65). sn.
  • Wu, X. & Chen, G. (2007). Dual-sink: using mobile and static sinks for lifetime improvement in wireless sensor networks. In Computer Communications and Networks. ICCCN 2007. Proceedings of 16th International Conference on (pp. 1297-1302). IEEE.
  • Younis, O. & Fahmy, S. (2004). HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Mobile Computing, IEEE Transactions on, 3(4), 366-379.
There are 12 citations in total.

Details

Subjects Computer Software
Journal Section 1
Authors

Kadir Tohma

Ipek Abasıkeles-turgut

Yakup Kutlu

Publication Date September 20, 2016
Submission Date January 16, 2017
Published in Issue Year 2016 Volume: 1 Issue: 3

Cite

APA Tohma, K., Abasıkeles-turgut, I., & Kutlu, Y. (2016). Performance Evaluation of Mobile Base Station under different Network Sizes on Cluster-Based Wireless Sensor Networks. Natural and Engineering Sciences, 1(3), 1-9. https://doi.org/10.28978/nesciences.286025

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