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Erschienen in: Wireless Personal Communications 3/2017

31.07.2017

Adaptive Load-Aware Congestion Control Protocol for Wireless Sensor Networks

verfasst von: Tzung-Shi Chen, Chia-Hsu Kuo, Zheng-Xin Wu

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

Congestion control in wireless sensor networks (WSNs) is crucial. In this article, we discuss congestion control and the adaptive load-aware problem for sensor nodes in WSNs. When the traffic load of a specific node exceeds its the available capacity of the node, a congestion problem occurs because of buffer memory overflow. Congestion may cause serious problems such as packet loss, the consumption of power, and low network throughput for sensor nodes. To address these problems, we propose a distributed congestion control protocol called adaptive load-aware congestion control protocol (ALACCP). The protocol can adaptively allocate the appropriate forwarding rate for jammed sensor nodes to mitigate the congestion load. Through the buffer management mechanism, the congestion index of neighboring sensor nodes, and an adjustment of the adaptive forwarding rate, the degree of congestion is alleviated markedly. The performance in allocating the forwarding rate effectively to neighboring sensor nodes also improves. The ALACCP can avoid packet loss because of traffic congestion, reduce the power consumption of nodes, and improve the network throughput. Simulation results revealed that the proposed ALACCP can effectively improve network performance and maintain the fairness of networks.

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Literatur
1.
Zurück zum Zitat Akyildiz, I., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communication Magazine, 40(8), 102–104.CrossRef Akyildiz, I., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communication Magazine, 40(8), 102–104.CrossRef
2.
Zurück zum Zitat Biagioni, E., & Bridges, K. (2002). The applications of remote sensor technology to assist the recovery of rare and endangered species. International Journal of High Performance Computing Applications, 16, 315–324.CrossRef Biagioni, E., & Bridges, K. (2002). The applications of remote sensor technology to assist the recovery of rare and endangered species. International Journal of High Performance Computing Applications, 16, 315–324.CrossRef
3.
Zurück zum Zitat Xu, J., Tang, X., & Lee, W. C. (2005). EASE: An energy-efficient in network storage scheme for object tracking in sensor networks. in Proceedings of IEEE Sensor and Ad Hoc Communications and Networks, pp. 396–405. Xu, J., Tang, X., & Lee, W. C. (2005). EASE: An energy-efficient in network storage scheme for object tracking in sensor networks. in Proceedings of IEEE Sensor and Ad Hoc Communications and Networks, pp. 396–405.
4.
Zurück zum Zitat Bahl, P., & Padmanabhan, V. N. (2000). RADAR: An in-building RF-based user location and tracking system. In Proceedings of the IEEE INFOCOM, pp. 775–784. Bahl, P., & Padmanabhan, V. N. (2000). RADAR: An in-building RF-based user location and tracking system. In Proceedings of the IEEE INFOCOM, pp. 775–784.
5.
Zurück zum Zitat Dai, H., & Han, R. (2003). A node-centric load balancing algorithm for wireless sensor networks. In Proceedings of the IEEE global telecommunications conference, pp. 548–552. Dai, H., & Han, R. (2003). A node-centric load balancing algorithm for wireless sensor networks. In Proceedings of the IEEE global telecommunications conference, pp. 548–552.
6.
Zurück zum Zitat Huang, S. C., & Jan, R. H. (2004). Energy-aware, load balanced routing schemes for sensor networks. In Proceedings of the IEEE international conference on parallel and distributed systems, pp. 419–425. Huang, S. C., & Jan, R. H. (2004). Energy-aware, load balanced routing schemes for sensor networks. In Proceedings of the IEEE international conference on parallel and distributed systems, pp. 419–425.
7.
Zurück zum Zitat Ren, F., He, T., Das, S., & Lin, C. (2011). Traffic-aware dynamic routing to alleviate congestion in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(99), 1585–1599.CrossRef Ren, F., He, T., Das, S., & Lin, C. (2011). Traffic-aware dynamic routing to alleviate congestion in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(99), 1585–1599.CrossRef
8.
Zurück zum Zitat Sheu, J. P., Chang, L. J., & Hu, W. K. (2009). Hybrid congestion control protocol in wireless sensor networks. Journal of Information Science and Engineering, 25(4), 1103–1119. Sheu, J. P., Chang, L. J., & Hu, W. K. (2009). Hybrid congestion control protocol in wireless sensor networks. Journal of Information Science and Engineering, 25(4), 1103–1119.
9.
Zurück zum Zitat Yin, X., Zhou, X., Huang, R., Fang, Y., & Li, S. (2009). A fairness-aware congestion control scheme in wireless sensor networks. In IEEE transactions on vehicular technology, 58(9). Yin, X., Zhou, X., Huang, R., Fang, Y., & Li, S. (2009). A fairness-aware congestion control scheme in wireless sensor networks. In IEEE transactions on vehicular technology, 58(9).
10.
Zurück zum Zitat Kominami, D., Sugano, M., Murata, M., & Hatauchi, T. (2013). Controlled and self-organized routing for large-scale wireless sensor networks. In ACM transactions on sensor networks, 10(1), Article 13, pp. 13.1–13.27. Kominami, D., Sugano, M., Murata, M., & Hatauchi, T. (2013). Controlled and self-organized routing for large-scale wireless sensor networks. In ACM transactions on sensor networks, 10(1), Article 13, pp. 13.1–13.27.
11.
Zurück zum Zitat Kafi, M., Djenouri, D., Ben-Othman, J., & Badache, N. (2014). Congestion control protocols in wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 16(3), 1369–1390.CrossRef Kafi, M., Djenouri, D., Ben-Othman, J., & Badache, N. (2014). Congestion control protocols in wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 16(3), 1369–1390.CrossRef
12.
Zurück zum Zitat Khana, Majid I., Gansterer, Wilfried N., & Haring, Guenter. (2013). Static vs. mobile sink: The influence of basic parameters on energy efficiency in wireless sensor networks. Computer Communications, 36(9), 965–978.CrossRef Khana, Majid I., Gansterer, Wilfried N., & Haring, Guenter. (2013). Static vs. mobile sink: The influence of basic parameters on energy efficiency in wireless sensor networks. Computer Communications, 36(9), 965–978.CrossRef
13.
Zurück zum Zitat Kuo, C. H., Chen, T. S., & Lo, Y. H. (2015). Efficient traffic load reduction algorithms for mitigating query hotspots for wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 18(3), 153–163.CrossRef Kuo, C. H., Chen, T. S., & Lo, Y. H. (2015). Efficient traffic load reduction algorithms for mitigating query hotspots for wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 18(3), 153–163.CrossRef
14.
Zurück zum Zitat Chen, S., & Yang, N. (2006). Congestion avoidance based on lightweight buffer management in sensor networks. IEEE Transactions on Parallel and Distributed Systems, 17(9), 934–946.CrossRef Chen, S., & Yang, N. (2006). Congestion avoidance based on lightweight buffer management in sensor networks. IEEE Transactions on Parallel and Distributed Systems, 17(9), 934–946.CrossRef
15.
Zurück zum Zitat Park, H., Lee, J., Oh, S., Yim, Y., Kim, S. H., & Nam, K. D. (2011). Quality-based event reliability protocol in wireless sensor networks. In IEEE consumer communications and networking conference, pp. 730–734. Park, H., Lee, J., Oh, S., Yim, Y., Kim, S. H., & Nam, K. D. (2011). Quality-based event reliability protocol in wireless sensor networks. In IEEE consumer communications and networking conference, pp. 730–734.
Metadaten
Titel
Adaptive Load-Aware Congestion Control Protocol for Wireless Sensor Networks
verfasst von
Tzung-Shi Chen
Chia-Hsu Kuo
Zheng-Xin Wu
Publikationsdatum
31.07.2017
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/s11277-017-4680-7

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