Energy-aware routing for delay-sensitive underwater wireless sensor networks
详细信息 查看全文
- 作者：SenLin Zhang (2)
ZiXiang Wang (2)
MeiQin Liu (1) (2)
MeiKang Qiu (3) - 关键词：energy ; delay ; routing ; UWSN ; node mobility ; 鑳借€?/li> 寤舵椂 ; 璺敱 ; 姘翠笅浼犳劅鍣ㄧ綉缁?/li> 鑺傜偣绉诲姩 ; 102308
- 刊名：SCIENCE CHINA Information Sciences
- 出版年：2014
- 出版时间：October 2014
- 年：2014
- 卷：57
- 期：10
- 页码：1-14
- 全文大小：732 KB
- 参考文献：1. Akyildiz I, Pompili D, Melodia T. Underwater acoustic sensor networks: research challenges. Ad Hoc Network, 2005, 3: 257鈥?79 CrossRef
2. Perkins C, Bhagwat P. Routing over multi-hop wireless network of mobile computers. In: Imielinski T, Korth H F, eds. Mobile Comput. Berlin: Springer, 1996. 183鈥?05 CrossRef
3. Johnson D, Maltz D. Dynamic source routing in ad hoc wireless networks. In: Imielinski T, Korth H F, eds. Mobile Computing. Berlin: Springer, 1996. 153鈥?81 CrossRef
4. Perkins C, Royer E. Ad-hoc on-demand distance vector routing. In: IEEE Workshop on Mobile Computing Systems and Applications, New Orleans, 1999. 90鈥?00
5. Zorzi M, Rao R. Geographic random forwarding (GERAF) for ad hoc and sensor networks. IEEE Trans Mobile Comput, 2003, 2: 349鈥?65 CrossRef
6. Watfa M, Tahan A. A position based routing algorithm in 3rd sensor networks. Wirel Commun Mobile Comput, 2012, 12: 33鈥?2 CrossRef
7. Xie P, Cui J, Lao L. Vbf: vector-based forwarding protocol for underwater sensor networks. In: Proceedings of IFIP Networking, Waterloo, 2005. 1216鈥?221
8. Nicolaou N, See A, Xie P. Improving the robustness of location-based routing for underwater sensor networks. In: IEEE OCEANS 2007, Aberdeen, 2007. 1鈥?
9. Yan H, Shi Z, Cui J. Dbr: depthbased routing for underwater sensor networks. In: Proceedings of the 7th International IFIP-TC6 Networking Conference on Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet, Singapore, 2008. 72鈥?6
10. Ayaz M, Abdullah A. Hop-by-hop dynamic addressing based (h2-dab) routing protocol for underwater wireless sensor networks. In: Proceedings of 2009 International Conference on Information and Multimedia Technology, Jeju Island, 2009. 436鈥?41 CrossRef
11. Xiao Y, Thulasiraman K, Xue G, et al. The constrained shortest path problem: algorithmic approaches and an algebraic study with generalization. AKCE Int J Graph Combinat, 2005, 2: 63鈥?6
12. Pompili D, Melodia T, Akyildiz I. Distributed routing algorithms for underwater acoustic sensor networks. IEEE Trans Wirel Commun, 2010, 9: 2934鈥?944 CrossRef
13. Hwang D, Kim D. Dfr: directional flooding-based routing protocol for underwater sensor networks. In: Proceedings of IEEE OCEANS 2008, Quebec City, 2008. 1鈥? CrossRef
14. Tian Q, Wen J, Yu G. Space-time-energy based forwarding protocol for underwater acoustic sensor networks. In: Proceedings of 2010 International Conference on Communications Circuits and Systems, Chengdu, 2010. 98鈥?02
15. Abraham V, Rangarajan S, Seetharamiah P, et al. Distance based routing scheme for underwater sensor networks. Int J Appl Infor Syst, 2012, 4: 12鈥?6
16. Huang C, Wang Y, Liao H, et al. A power-efficient routing protocol for underwater wireless sensor networks. Appl Soft Comput, 2011, 11: 2348鈥?355 CrossRef
17. Al-Bzoor M, Zhu Y, Liu J, et al. Adaptive power controlled routing for underwater sensor networks. In: Proceedings of the 7th International Conference on Wireless Algorithms, Systems, and Applications, Huangshan, 2012. 549鈥?60 CrossRef
18. Handler G, Zang I. A dual algorithm for the constrained shortest path problem. Networks, 1980, 10: 293鈥?10 CrossRef
19. J眉ttner A, Szviatovszki B, M茅cs I, et al. Lagrange relaxation based method for the qos routing problem. In: Proceedings of IEEE INFOCOM 2001, Anchorage, 2001. 85 859鈥?68
20. J眉ttner A. On resource constrained optimization problems. In: Proceedings of 4th Japanese Hungarian Symposium on Discrete Mathematics and Its Applications, Budapest, 2005. 1鈥?4
21. Fisher M. The lagrangian relaxation method for solving integer programming problems. Manag Sci, 1981, 27: 1鈥?8 CrossRef
22. Wang Z, Crowcroft J. Bandwidth-delay based routing algorithms. In: Proceedings of IEEE GlobeCom鈥?5, Singapore, 1995. 2129鈥?133
23. Cui J, Kong J, Gerla M, et al. The challenges of building mobile underwater wireless networks for aquatic applications. IEEE Network, 2006, 20: 12鈥?8
24. Stojanovic M. On the relationship between capacity and distance in an underwater acoustic communication channel. In: Proceedings of WUWNet鈥?6, Los Angeles, 2006. 41鈥?7
25. Thorp W H. Analytic description of the low-frequency attenuation coefficient. J ACoust Soc Am, 1967, 42: 270 CrossRef - 作者单位：SenLin Zhang (2)
ZiXiang Wang (2)
MeiQin Liu (1) (2)
MeiKang Qiu (3)
2. College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China
1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China
3. Department of Computer Engineering, San Jose State University, San Jose, CA, 95192, USA - ISSN：1869-1919
文摘
The energy reduction is a challenging problem in the applications of underwater wireless sensor networks (UWSNs). The embedded battery is difficult to be replaced and it has an upper bound on its lifetime. Multihop relay is a popular method to reduce energy consumption in data transmission. The energy minimum path from source to destination in the sensor networks can be obtained through the shortest path algorithm. However, because of the node mobility, the global path planning approach is not suitable for the routing in UWSNs. It calls for an energy-efficient routing protocol for the high dynamic UWSNs. In this paper, we propose the modified energy weight routing (MEWR) protocol to deal with the energy-efficient routing of delaysensitive UWSNs. MEWR is a low flooding routing protocol. It can tolerate the node mobility in UWSNs and achieve a low end-to-end packet delay. MEWR can provide lower energy consumption than the existing low delay routing protocols through the dynamic sending power adjustment. The simulation results demonstrate the effectiveness of MEWR.