基于动态变化竞争窗口的水下无线传感器网络MAC协议

石 岳; 李 成; 郝 琨

doi:10.11993/j.issn.2096-3920.2020.02.009

基于动态变化竞争窗口的水下无线传感器网络MAC协议

doi: 10.11993/j.issn.2096-3920.2020.02.009

天津城建大学计算机与信息工程学院, 天津, 300384

基金项目: 国家自然科学基金(61902273); 天津市自然科学基金面上项目(18JCYBJC85600); 青海省物联网重点实验室开放课题(2017-ZJ-Y21)

详细信息

作者简介:
石岳(1995-), 男, 硕士, 主要研究方向为水下无线传感网络MAC协议.

中图分类号: TJ630.34; TP393
计量
- 文章访问数: 292
- HTML全文浏览量: 23
- PDF下载量: 101
- 被引次数: 0
出版历程
- 收稿日期: 2016-11-19
- 修回日期: 2016-12-18
- 刊出日期: 2020-04-30

Underwater Wireless Sensor Network MAC Protocol Based on Dynamical Change Contention Window

School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China

摘要

摘要: 为了满足自主水下航行器(AUV)与静态水底节点的高效通信, 文中设计了一种动态变化竞争窗口介质访问控制(DCCW-MAC)协议。该协议根据传感器节点与AUV的距离优化竞争窗口值, 传输成功率高的节点调整退避时间优先发送数据包, 可高效利用信道资源。仿真结果表明, 所提出的DCCW-MAC协议能够满足AUV和节点之间的通信。与传统的CW-MAC协议相比, 在节点数和泊松到达率相同的条件下,其最大吞吐量提高了5%, 端到端时延降低了15%。
- 自主水下航行器 /
- 水下无线传感器网络 /
- 介质访问控制协议 /
- 竞争窗口 /
- 网络吞吐量
Abstract: A dynamical change contention window-media access control(DCCW-MAC) protocol is designed to improve the efficiency of communication between autonomous undersea vehicle(AUV) and sensor nodes. The protocol optimizes the contention window value according to the distance between sensor nodes and AUV, and the sending node with high transmission success rate adjusts the back-off time to transmit data package first, which can efficiently utilize channel resources. Simulation results show that DCCW-MAC protocol is applicable to the communication between AUV and nodes, and compared with the traditional CW-MAC protocol under the same number of nodes and Poisson arrival rate, its maximum throughput increases by 5% and the end-to-end delay is reduced by 15%.
- underwater wireless sensor network(UWSN) /
- media access control(MAC) protocol /
- autonomous undersea vehicle(AUV) /
- contention window /
- network throughput

HTML全文

参考文献(17)

[1]	Zenia N Z, Aseeri M, Ahmed M R, et al. Energy-efficiency and Reliability in MAC and Routing Protocols for Underwater Wireless Sensor Network: A Survey[J]. Journal of Network and Computer Applications, 2016(71):72-85.
[2]	Gong Z, Li C, Jiang F. AUV-Aided Joint Localization and Time Synchronization for Underwater Acoustic Sensor Networks[J]. IEEE Signal Processing Letters, 2018, 25(4): 477-481.
[3]	Li C, Xu Y, Xu C, et al. DTMAC: A Delay Tolerant MAC Protocol for Underwater Wireless Sensor Networks[J]. IEEE Sensors Journal, 2016, 16(11): 4137-4146.
[4]	李雅婧, 金志刚, 苏毅珊. 水下传感器网络中避免时空不确定性影响的MAC协议[J]. 南开大学学报(自然科学版), 2017, 50(5): 16-22. Li Ya-jing, Jin Zhi-gang, Su Yi-shan. A Time-spatial Uncertainty Avoided MAC Protocol in Underwater Sensor Network[J]. Acta Scientiarum Naturalium Universitatis Nankaiensis(Natural Science Edition), 2017, 50(5): 16-22.
[5]	Gjanci P, Petrioli C, Basagni S, et al. Path Finding for Maximum Value of Information in Multi-modal Underwater Wireless Sensor Networks[J]. IEEE Transactions on Mobile Computing, 2017, 17(2): 404-418.
[6]	Pallares O, Bouvet P J, Rio J D. TS-MUWSN: Time Synchronization for Mobile Underwater Sensor Networks[J]. IEEE Journal of Oceanic Engineering, 2016, 41(4): 763- 775.
[7]	Climent S, Sanchez A, Capella J, et al. Underwater Acoustic Wireless Sensor Networks: Advances and Future Trends in Physical, MAC and Routing Layers[J]. Sensors, 2014, 14(1): 795-833.
[8]	Kleunen W V, Meratnia N, Havinga P J M. MDS-Mac: A Scheduled MAC for Localization, Time-Synchronisation and Communication in Underwater Acoustic Networks[C]//2012 IEEE 15th International Conference on Computational Science and Engineering. Cyprus: Nicosia, 2012.
[9]	Climent S, Capella J, Meratnia N, et al. Underwater Sensor Networks: A New Energy Efficient and Robust Architecture[J]. Sensor, 2012(1): 704-731.
[10]	Ng H H, Soh W S, Motani M. A Bidirectional-Concurrent MAC Protocol with Packet Bursting for Underwater Acoustic Networks[J]. IEEE Journal of Oceanic Engineering, 2013, 38(3): 547-565
[11]	Syed A A, Ye W, Heidemann J. Comparison and Evaluation of the T-Lohi MAC for Underwater Acoustic Sensor Networks[J]. IEEE Journal on Selected Areas in Communications, 2008, 26(9): 1731-1743.
[12]	Parrish N, Tracy L T, Roy S, et al. System Design Considerations for Undersea Networks: Link and Multiple Access Protocols[J]. IEEE Journal on Selected Areas in Communications, 2008, 26(9): 1720-1730.
[13]	Iqbal Z, Lee H N. Spatially Concatenated Channel-Network Code for Underwater Wireless Sensor Networks[J]. IEEE Transactions on Communications, 2016, 64(9): 3901-3914.
[14]	黄俊豪. 基于CSMA的水声传感器网络MAC协议的研究与实现[D]. 广州: 华南理工大学, 2016.
[15]	Peters, Danel J. A Bayesian Method for Localization by Multistatic Active Sonar[J]. IEEE Journal of Oceanic Engineering, 2017, 42(1): 135-142.
[16]	Hosseini M, Chizari H, Ismail A S. New Hybrid RSS- Based Localization Mechanism for Underwater Wireless Sensor Networks[J]. International Journal of Computer Communications and Networks, 2011, 1(1): 1-10.
[17]	Hosseini M, Chizari H, Soon C K, et al. RSS-based Distance Measurement in Underwater Acoustic Sensor Networks: An Application of the Lambert W function[C]//2010 4th International Conference on Signal Processing and Communication Systems. Gold Coast: Australia, 2010.