认知无线传感器网络中基于GSC的协作传输机制

doi:10.3969/j.issn.1000-436x.2013.09.019

Abstract

Abstract:

In response to the features that the sensor nodes are gy-limited and power-constrained in wireless sensor network,a cooperative transmission scheme based on general selection combine(GSC)algorithm was proposed when the channel state information (CSI) was known to the transmitter.The number of cooperative nodes was depended on the GSC algorithm subject to a power constraint at the transmitter,and these selected nodes were scheduled according to the channel sate and individual residual energy.The analys lation results show that the proposed scheme can effectively prolong the network lifetime.

Key words: wireless sensor network, cooperative OFDM, channel state information, general selection combine

Zhi-chao QIN,Zheng ZHOU,Xiao-chuan ZHAO,Yang ZHANG. Cooperative transmission scheme based on GSC for cognitive wireless sensor network[J]. Journal on Communications, 2013, 34(9): 158-165.

Figures/Tables 11

References 17

[1]	MAINETTI L , PATRONO L , VILEI A . Evolution of wireless networks towards the internet of things:a survey[A]. The 19th International Conference on Software,Telecommunications and Computer Networks (SoftCOM)[C]. Split,Croatia, 2011. 1-6.
[2]	BARCELO-LLADO J E , MORELL A,SECO-GRANADOS G . Distributed source coding in large wireless sensor networks[A]. 2010 Conference Record of the Forty Fourth Asilomar Confere on Signals,Systems and Computers (ASILOMAR)[C]. Pacific Grove,USA, 2010. 1535-1539.
[3]	WU D , ZHU G , ZHAO D M ,et al. Energy balancing in an OFDMbased WSN[A]. IEEE 73rd Vehicular Technology Conference (VTC Spring)[C]. Budapest,Hungary, 2011. 1-5.
[4]	ZAHMATI A S , HUSSAIN S , FERNANDO X ,et al. Cognitive wireless sensor networks:emerging topics and recent challenges[A]. 2009 IEEE Toronto International Conference on Science and T nology for Humanity (TIC-STH)[C]. Toronto,Canada, 2009. 593-596.
[5]	VIJAY G , BEN A B E , IBNKAHLA M . Cognition in wireless sensor networks:a perspective[J]. IEEE Sensors Journal, 2011,1(3): 582-592.
[6]	KONG N , ENG T , MILSTEIN L B . A selection combining scheme for rake receivers[A]. Fourth IEEE International Conference on Universal Personal Communications[C]. Tokyo,Japan, 1995. 426-430.
[7]	KONG N , MILSTEIN L B . A closed form expression for the average SNR when combining an arbitrary number of diversity branches with non identical rayleigh fading statistics[A]. IEEE International Conference on Communications(ICC'99)[C]. Vancouver,Canada, 1999. 1864-1868.
[8]	LINTON L , CONDER P , FAULKNER M . Multiple-access communications for underwater acoustic sensor networks using OFDM-IDMA[A]. IEEE Biloxi-Marine Technology for Our Future:Global and Local Challenges[C]. Biloxi,USA, 2009. 1-8.
[9]	HENAUT J , DRAGOMIRESCU D , PLANA R . FPGA based high date rate radio interfaces for aerospace wireless sensor systems[A]. Fourth International Conference on Systems(ICONS'09)[C]. Cancun,Mexico, 2009. 173-178.
[10]	HENAUT J , DRAGOMIRESCU D , PERGET F ,et al. Validation of the MB-OFDM modulation for high data rate WSN for satellite ground testing[A]. Fifth International Conference on Systems (ICO '10)[C]. Nice,France, 2010. 41-46.
[11]	BADER A , ABED-MERAIM K , ALOUINI M S . Utilization of OFDM for efficient packet forwarding in wireless sensor network. IEEE Global Telecommunications Conference (GLOBECOM 2011)[C]. Houston,USA, 2011. 1-5.
[12]	TANG W , WANG L . Cooperative OFDM for energy-efficient wireless sensor networks[A]. IEEE Workshop on Signal Processing Systems (SiPS 2008)[C]. Washington D C,USA, 2008. 77-82.
[13]	HEINZELMAN W R , CHANDRAKASAN A , BALAKRISHNAN H . Energy-efficient communication protocol for wireless microsensor networks[A]. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences[C]. Hawaii,USA, 2000. 3005-3014.
[14]	YOUNIS O , FAHMY S . HEED:a hybrid,energy-efficient,distributed clustering approach for ad hoc sensor networks[J]. IEE Transactions on Mobile Computing, 2004,3(4): 366-379.
[15]	CUI S G , GOLDSMITH A J , BAHAI A . Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks[J]. IEEE Journal on Selected Areas in Communications, 2004,22(6): 1089-1098.
[16]	PROAKIS J G . Digital Communications,Fourth Edition[M]. New York: McGraw HillPress, 2000.
[17]	MIN R , CHANDRAKASAN A . A framework for energy-scalable communication in high-density wireless networks[A]. Proceedings of the 2002 International Symposium on Low Power Electron and Design(ISLPED'02)[C]. Monterey,USA, 2002. 36-41.

Metrics

Recommended 0

No Suggested Reading articles found!

参数	意义	取值
M_l	链路余量	40 dB
N_f	噪声系数	10 dB
G_t	发射天线增益	5 dB
G_r	接收天线增益	5 dB
l	载波波长	0.12 m
r	能量效率	0.8
h	峰均比	0.35
e	功率放大器漏极效率	0.515
L	子信道个数	16
d_m	簇半径	10 m
P_{c src}	源节点综合电路能耗	0.098 2 W
P_{c realy}	协作节点综合电路能耗	0.138 6 W
P_{c dst}	目标节点综合电路能耗	0.112 5 W
N₀	高斯白噪声功率谱密度	-171 dB/Hz

Cooperative transmission scheme based on GSC for cognitive wireless sensor network

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 17

Related Articles 15

Metrics

Recommended 0

[1]	Yue ZHAO, Zan LI, Bing LI, Benjian HAO. TDoA localization-refused area analysis and node placement strategy research [J]. Journal on Communications, 2023, 44(1): 1-13.
[2]	Cuiran LI, Xuejie WANG, Jianli XIE, Anqi LYU. Routing algorithm for railway monitoring linear WSN based on improved PSO [J]. Journal on Communications, 2022, 43(5): 155-165.
[3]	Lei LANG, Jingning WANG, Yi WANG, Zitao ZHAO. Radio resource and trajectory optimization for UAV assisted communication based on user route [J]. Journal on Communications, 2022, 43(3): 225-232.
[4]	Xiujuan DU, Lijuan WANG, Jingping LIU, Long JIN. Ranging localization method for nodes in underwater wireless sensor network based on zeroing neural dynamics [J]. Journal on Communications, 2022, 43(10): 177-185.
[5]	Yong LIAO, Shuai WANG, Ning SUN. Intelligent CSI feedback method for fast time-varying FDD massive MIMO system [J]. Journal on Communications, 2021, 42(7): 211-219.
[6]	Aijing SUN, Shichang LI, Yicai ZHANG. WSN clustering routing algorithm based on PSO optimized fuzzy C-means [J]. Journal on Communications, 2021, 42(3): 91-99.
[7]	Mu ZHOU, Yuexin LONG, Qiaolin PU, Yong WANG, Wei HE. Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition [J]. Journal on Communications, 2021, 42(11): 159-171.
[8]	Tianjing WANG,Xiuqin LI,Guangwei BAI,Hang SHEN. Multi-target localization algorithm based on adaptive grid in wireless sensor network [J]. Journal on Communications, 2019, 40(7): 197-207.
[9]	Xiaochen HAO,Ning YAO,Lixia XIE,Jiaojiao WANG,Liyuan WANG. Research on WSN lifetime optimization game algorithm combined power and channel [J]. Journal on Communications, 2019, 40(4): 62-70.
[10]	Xiaochao DANG,Yaning HUANG,Zhanjun HAO,Xiong SI. Passive indoor human daily behavior detection method based on channel state information [J]. Journal on Communications, 2019, 40(4): 160-170.
[11]	Linlan LIU,Shengrong GAO,Jian SHU. Link quality prediction based on random forest [J]. Journal on Communications, 2019, 40(4): 202-211.
[12]	Xiaonian WU,Chuyun ZHANG,Runlian ZHANG,Yaping SUN. Clustering routing protocol based on improved PSO algorithm in WSN [J]. Journal on Communications, 2019, 40(12): 114-123.
[13]	Haoran LIU,Heyao ZHAO,Yujing DENG,Xingqi WANG,Rongrong YIN. Coverage control algorithm for wireless sensor networks based on non-cooperative game [J]. Journal on Communications, 2019, 40(1): 71-78.
[14]	Jian SHU,Manlan LIU,Yaqing SHANG,Yubin CHEN,Linlan LIU. Link quality prediction model based on Gaussian process regression [J]. Journal on Communications, 2018, 39(7): 148-156.
[15]	Junbin LIANG,Xiang ZHOU,Taoshen LI. Energy saving proactive neighbor discovery algorithm in mobile low-duty-cycle wireless sensor network [J]. Journal on Communications, 2018, 39(4): 45-55.