Channel Aware Fuzzy Logic Hop Selection for Wireless Sensor Networks

被引:0
作者
Ghataoura, Darminder Singh [1 ]
Yang, Yang [1 ]
Matich, George [2 ]
机构
[1] UCL, Dept Elect & Elect Engn, Gower St,Torrington Pl, London WC1E 7JE, England
[2] Selex Galileo, Basildon SS14 3ELB, Essex, England
来源
2009 INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT) | 2009年
关键词
Wireless sensor networks; fuzzy logic; energy effeciency; transmission reliability; channel aware;
D O I
10.1109/ICTEL.2009.5158629
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Throughput and energy efficiency are two important parameters to evaluate the performance of a Wireless Sensor Network (WSN). For WSNs involved in varying channel conditions packet transmission reliability can be affected. This results in increased number of retransmissions and therefore energy consumption, with low throughput. Making optimal choices for robust packet transmission in this scenario is vital. For the purpose of this study a Fuzzy Logic System (FLS) is used as the decision mechanism for hop node selection. Both signal to noise ratio (SNR) and outage probability (Pout) are chosen parameters for the FLS, to decide upon hop node selection for reliable packet forwarding. Simulation results show that the proposed FLS does indeed provide advantages in improving on transmission reliability and energy efficiency performance, when operating in varying channel conditions.
引用
收藏
页码:113 / +
页数:2
相关论文
共 14 条
[1]  
AKKAYA K, 2005, J AD HOC NETWORKS, P325
[2]   A survey on sensor networks [J].
Akyildiz, IF ;
Su, WL ;
Sankarasubramaniam, Y ;
Cayirci, E .
IEEE COMMUNICATIONS MAGAZINE, 2002, 40 (08) :102-114
[3]   Routing techniques in wireless sensor networks: A survey [J].
Al-Karaki, JN ;
Kamal, AE .
IEEE WIRELESS COMMUNICATIONS, 2004, 11 (06) :6-28
[4]  
GOLDSMITH A, 2005, WIRELESS COMMUNICATI, P543
[5]  
GOSH S, 1998, IEEE T FUZZY SYSTEMS, V6
[6]  
HEINZELMAN W, 2002, P 10 IEEE ACM INT S
[7]  
Heinzelman W., 2002, IEEE Transactions on Wireless Communications '02, V1
[8]  
Liang QL, 2005, IEEE WCNC, P1867
[9]   APPLICATION OF FUZZY LOGIC TO APPROXIMATE REASONING USING LINGUISTIC-SYNTHESIS [J].
MAMDANI, EH .
IEEE TRANSACTIONS ON COMPUTERS, 1977, 26 (12) :1182-1191
[10]   Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks [J].
Marwaha, S ;
Srinivasan, D ;
Tham, CK ;
Vasilakos, A .
CEC2004: PROCEEDINGS OF THE 2004 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2004, :1964-1971