吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (4): 1321-1328.doi: 10.13229/j.cnki.jdxbgxb201704044

• Orginal Article • Previous Articles    

Marine mammal-friendly spectrum allocation algorithm for cognitive underwater acoustic network

JIN Zhi-gang, WANG Jian, SU Yi-shan   

  1. School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China
  • Received:2016-05-02 Online:2017-07-20 Published:2017-07-20

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Abstract:

To make full use of the scare spectrum resources shared by marine mammals and underwater acoustic sensor networks,a new marine mammal-friendly spectrum allocation algorithm in cognitive acoustic networks is proposed. First,the marine mammals are considered as the primary user and the sensor node is used as the secondary user.Then,the communication mechanism of the mammal-friendly cognitive acoustic networks is proposed.The utility function is established with the goal of maximizing the system capacity of the secondary user.Third, the secondary user's transmission power and channel allocation are solved by the Lagrange multiplier method combined with power control and channel allocation technique. Finally,the marine mammal-friendly cognitive acoustic network spectrum allocation mechanism and algorithm are designed,which can achieve the channel sharing of the primary user and the secondary user,as well as maximizing the spectrum efficiency.Simulation results show that the marine mammal-friendly cognitive acoustic spectrum allocation algorithm not only can avoid interference between the sensor nodes and the marine mammals, but also the bandwidth efficiency and system capacity are improved by 37.4% and 34.3% respectively.

Key words: communication technology, cognitive underwater acoustic networks, spectrum allocation, marine mammal-friendly, power control

CLC Number: 

  • TN929.5
[1] Heidemann J, Stojanovic M, Zorzi M. Underwater sensor networks: applications, advances and challenges[J]. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 2012, 370(1958): 158-175.
[2] Jindal H, Saxena S, Singh S. Challenges and issues in underwater acoustics sensor networks: a review[C]//IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC),Solan, 2014: 251-255.
[3] Han G,Jiang J,Sun N,et al.Secure communication for underwater acoustic sensor networks[J].IEEE Communications Magazine,2015,53(8):54-60.
[4] Bicen A O, Sahin A B, Akan O B. Spectrum-aware underwater networks: cognitive acoustic communications[J]. IEEE Vehicular Technology Magazine, 2012, 7(2): 34-40.
[5] Luo Y, Pu L, Zuba M, et al. Challenges and opportunities of underwater cognitive acoustic networks[J]. IEEE Transactions on Emerging Topics in Computing, 2014, 2(2): 198-211.
[6] 刘凇佐,刘冰洁,尹艳玲,等. M元仿海豚叫声隐蔽水声通信[J]. 哈尔滨工程大学学报,2014,35(1): 119-125.
Liu Song-zuo, Liu Bing-jie, Yin Yan-ling, et al. M-ray covert underwater acoustic communication by mimicking dolphin sounds[J]. Journal of Harbin Engineering University, 2014, 35(1): 119-125.
[7] Luo Y, Pu L, Zuba M, et al. Cognitive acoustics: making underwater communications environment-friendly[C]//Proceedings of the IEEE International Conference on Underwater Networks & Systems, New York, USA, 2014: 48.
[8] 张国胜,顾晓晓,邢彬彬,等. 海洋环境噪声的分类及其对海洋动物的影响[J]. 大连海洋大学学报,2012,27(1): 89-94.
Zhang Guo-sheng, Gu Xiao-xiao, Xing Bin-bin, et al. Classification of marine environmental noise and its effects on marine animals[J]. Journal of Dalian Ocean University, 2012, 27(1): 89-94.
[9] Tyack P L, Janik V M. Animal Communication and Noise[M]. Berlin: Springer, 2013: 251-271.
[10] Luo Y, Pu L, Zheng P, et al. RISM: an efficient spectrum management system for underwater cognitive acoustic networks[C]//IEEE Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Singapore, 2014: 414-422.
[11] Le A M,Kim D S.Joint channel and power allocation for underwater cognitive acoustic networks[C]//IEEE International Conference on Advanced Technologies for Communications(ATC),Hanoi,2014:745-749.
[12] Mitola J, Maguire J G Q. Cognitive radio: making software radios more personal[J]. IEEE Personal Communications, 1999, 6(4): 13-18.
[13] 李钊,饶正发,蔡沈锦. 协作认知无线网络中基于优先级队列的两级中心频谱共享[J]. 吉林大学学报:工学版,2016, 46(5):1651-1659.
Li Zhao, Rao Zheng-fa, Cai Shen-jin. Priority queue based two-layer centralized spectrum sharing in CCRN[J]. Journal of Jilin University(Engineering and Technology Edition), 2016, 46(5):1651-1659.
[14] Digham F F. Joint power and channel allocation for cognitive radios[C]//IEEE Wireless Communications and Networking Conference, Las Vegas, USA,2008: 882-887.
[15] Canales M, Gallego J R, Ciria R. Distributed channel allocation and power control in cognitive radio networks using game theory[C]//IEEE Vehicular Technology Conference (VTC Fall), San Francisco,USA,2011: 1-5.
[16] He Y Y, Dey S. Power allocation in spectrum sharing cognitive radio networks with quantized channel information[J]. IEEE Transactions on Communications, 2011, 59(6): 1644-1656.
[17] Baldo N, Casari P, Zorzi M. Cognitive spectrum access for underwater acoustic communications[C]//IEEE International Conference on Communications Workshops, Beijing, 2008: 518-523.
[18] Torees D, Charbiwala Z, Friedman J, et al. Spectrum signaling for cognitive underwater acoustic channel allocation[C]//IEEE Conference on Computer Communications Workshops, San Diego,USA,2010: 1-6.
[19] Yang Q, Su Y, Jin Z, et al. EFPC: an environmentally friendly power control scheme for underwater sensor networks[J]. Sensors, 2015, 15(11): 29107-29128.
[20] von Szalay P G,Brown E. Trawl comparisons of fishing power differences and their applicability to National Marine Fisheries Service and Alaska Department of Fish and Game trawl survey gear[J].Alaska Fishery Research Bulletin,2001,8(2):85-95.
[21] Bertsekas D. Nonlinear Programming[M]. Nashua,USA: Athena Scientific, 1999:309-312.
[22] Yao Gui-dan, Jin Zhi-gang, Su Yi-shan. An environment-friendly spectrum decision strategy for underwater wireless sensor networks[C]//IEEE International Conference on Communications (ICC), London, 2015: 6370-6375.
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