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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

11.10.2016

Reliable and Energy Efficient Communication Algorithm in Hierarchical Wireless Sensor Networks

verfasst von: Shuo Xiao, Zhiou Xu

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

Wireless sensor networks are data centric networks, which transmit gathered data to sink nodes. Considering energy constraints, how to make full use of the limited energy to reliably transmit data as much as possible becomes a main research region in sensor networks. In this paper, we focus on energy consumption and reliability of different communication modes. Single hop communication mode is simple and easy to implement, but the distant cluster members, especially those on the edge of the networks, need to enlarge transmission power. On the other hand multi-hop communication is not constrained by the communication distance. The relay communication mode guarantees data transmission to a remote cluster head. Considering of the reliability and energy consumption, we propose a voting based clustering communication algorithm. And the optimal cluster number is calculated based on the geometry locations. Finally, several experiments have been done to validate the analysis in this paper.
Vorheriger Artikel The Mobile Media Based Emergency Management of Web Events Influence in Cyber-Physical Space
Nächster Artikel Routing Technology in Wireless Sensor Network Based on Ant Colony Optimization Algorithm

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Literatur
1.
Golrezaei, N., Molisch, A. F., Dimakis, A. G., et al. (2013). Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution. IEEE Commununication Magazine, 51(4), 142–149.CrossRef
2.
Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670.CrossRef
3.
Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000). Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of the sixth ACM international conference on mobile computing and networking (pp. 56–67).
4.
Rodoplu, V., & Meng, T. H. (1999). Minimum energy mobile wireless networks. IEEE Journal on Selected Areas in Communications, 17(8), 1333–1344.CrossRef
5.
Zhang, G., Yang, K., & Hu, Q. (2012). Bargaining game theoretic framework for stimulating cooperation in wireless cooperative multicast networks. IEEE Communications Letters, 16(2), 208–211.CrossRef
6.
Liu, M., Liu, B. & Wen, Y. (2013). An efficient data evacuation strategy for sensor networks in postdisaster applications. International Journal of Distributed Sensor Networks, 9(1), 1–12.CrossRef
7.
Liu, M., Gong, H., Wen, Y., Chen, G. & Cao, J. (2011). The last minute: Efficient data evacuation strategy for sensor networks in post-disaster applications. In IEEE proceedings of the INFOCOM (pp. 291–295).
8.
Golrezaei, N., Molisch, A. F., Dimakis, A. G., et al. (2013). Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution. IEEE Communications, 51(4), 142–149.CrossRef
9.
Yu, C., Doppler, K., Ribeiro, C. B., & Tirkkonen, O. (2011). Resource sharing optimization for device-to-device communication underlaying cellular networks. IEEE Transactions on Wireless Communication, 10(8), 2752–2763.CrossRef
10.
Wang, C., Hussain, S., & Bertino, E. (2016). Dictionary based secure provenance compression for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 27(2), 405–418.CrossRef
11.
Kumari, S., Khan, M. K., & Atiquzzaman, M. (2015). User authentication schemes for wireless sensor networks: A review. Ad Hoc Networks, 27, 159–194.CrossRef
12.
Ghasemigol, M., Ghaemi-Bafghi, A., & Sadoghi-Yazdi, H. (2015). Anomaly detection and foresight response strategy for wireless sensor networks. Wireless Networks, 21(5), 1425–1442.CrossRef
13.
Cai, J., & Gu, M. (2015). Performance analysis for star topology wireless sensor networks based on IEEE 802.15.4. Journal of tinghua university, 55(5), 565–571.MathSciNet
14.
Dinh, T. N., Nguyen, N. P., & Thai, M. T. (2013). An adaptive approximation algorithm for community detection in dynamic scale-free networks. In Proceedings of the 32nd IEEE INFOCOM (pp. 55–59).
15.
Gong, M.-G., Zhang, L.-J., Ma, J.-J., & Jiao, L.-C. (2012). Community detection in dynamic social networks based on multiobjective immune algorithm. Journal of Computer Science and technology, 27(3), 455–467.MathSciNetCrossRefMATH
16.
Mohamed, M. M. A., Khokhar, A. A., & Trajcevski, G. (2013). Voronoi trees for hierarchical in-network data and space abstractions in wireless sensor netowrks. In Proceedings of the 16th ACM international conference on modeling, analysis & simulation of wireless and mobile systems (pp. 207–210).
17.
Mohamed, M. M. A., Khokhar, A., & Trajcevski, G. (2014). Energy eficient resource distribution for mobile wireless sensor networks. In Proceedings of the 15th IEEE international conference on mobile data management (pp. 49–54).
18.
Lindsey, S., Raghavendra, C., & Sivalingam, K. M. (2002). Data gathering algorithms in sensor networks using energy metric. IEEE Transactions on Parallel and Distributed Systems, 13(9), 924–935.CrossRef
19.
Manjeshwar, A., & Agrawal, D. P. (2001). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In Proceedings of the 15th international parallel and distributed processing symposium (pp. 2009–2015).
20.
Manjeshwar, A., & Agrawal, D. P. (2002). APTEEN: A hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In Proceedings of the 16th international parallel and distributed processing symposium (pp. 195–202).
21.
Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–379.CrossRef
22.
Silveira, D. et al. (2014). Reference frame context-adaptive variable-length coder: A real-time hardware-friendly approach for lossless external memory bandwidth reduction in current video coding systems. Journal of Real-Time Image Processing, 10(3), 1–17.
23.
Chikkerur, S., Sundaram, V., Reisslein, M., & Karam, L. J. (2011). Objective video quality assessment methods: A classification, review, and performance comparison. IEEE Transactions on Broadcasting, 57(2), 165–182.CrossRef
24.
Shoaib, U. R., Rehman, Obaid, Akbar, Zeeshan, & Iqbal, Javed. (2012). Performance evaluation o f Bluetooth and Zigbee using monte carlo simulation. International Journal of Computer Science Issues, 9(1), 12–19.
25.
Pudlewski, S., & Melodia, T. (2013). A tutorial on encoding and wireless transmission of compressively sampled videos. IEEE Communications Surveys and Tutorials, 15(2), 754–767.CrossRef
26.
Pudlewski, S., & Melodia, T. (2010). A distortion-minimizing rate controller for wireless multimediasensor networks. Computer Communications, 33(12), 1380–1390.CrossRef
27.
Song, Y., Wang, B., Shi, Z., Pattipati, K., & Gupta, S. (2014). Distributed algorithms for energy-efficient even self-deployment in mobile sensor networks. IEEE Transactions on Mobile Computing, 13(5), 1035–1047.CrossRef
28.
Fischer, C., & Gellersen, H. (2010). Location and navigation support for emergency responders. IEEE Pervasive Computing, 9(1), 38–47.CrossRef
29.
Wang, J., Li, Z., Li, M., Liu, Y., & Yang, Z. (2013). Sensor network navigation without locations. IEEE Transactions on Parallel and Distributed Systems, 24(7), 1436–1446.CrossRef
30.
Bocca, M., Kaltiokallio, O., Patwari, N., & Venkatasubramanian, S. (2014). Multiple target tracking with RF sensor networks. IEEE Transactions on Mobile Computing, 13(8), 1787–1800.CrossRef
Metadaten
Titel
Reliable and Energy Efficient Communication Algorithm in Hierarchical Wireless Sensor Networks
verfasst von
Shuo Xiao
Zhiou Xu
Publikationsdatum
11.10.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3705-y

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