A Channel Reliability Based Multi-channel MAC Protocol in Wireless Sensor Networks

Abstract

Abstract: In order to meet the demand of high bandwidth in resource-constrained sensor networks, a channel-reliability based multi-channel MAC protocol namely RB-MAC was proposed. This protocol introduces a new kind of control packet format and handshaking process. Moreover, a ready-to-send channel list concept and a ready-to-receive channel list concept were proposed. In order to find the most reliable channel for data transmission, the data channel selection problem is transformed into the multiarmed bandit problem which is solved by the upper confidence bound algorithm. The simulation results show that, compared with dynamic channel allocation MAC (DCA-MAC), RBMAC decreases the delay and packet loss ratio, thereby increase the throughput. Besides, RB-MAC is more immune to interferences.

Key words: wireless sensor networks, multichannel media access control (MAC), control channel, channel reliability

CLC Number:

TP 393.04

XIAO Rong, JIANG Ling-Ge, HE Chen. A Channel Reliability Based Multi-channel MAC Protocol in Wireless Sensor Networks[J]. Journal of Shanghai Jiaotong University, 2012, 46(09): 1382-1386.

References

［1］Namboothiri P G, Sivalingam K M. Performance of a multichannel MAC protocol based on IEEE 802.15.4 radio ［C］∥ IEEE 34th Conference on Local Computer Networks. Zurich, Switzerland: IEEE Press, 2009: 313316.
［2］Li C, Wang P, Chen H H, et al. A cluster based ondemand multichannel MAC protocol for wireless multimedia sensor networks ［C］∥ IEEE International Conference on Communications. Beijing: IEEE Press, 2008: 23712376.
［3］Chen X, Han P, He Q S, et al. A multichannel MAC protocol for wireless sensor networks ［C］∥ The Sixth IEEE International Conference on Computer and Information Technology. Korea, Seoul: IEEE Press, 2006: 224229.
［4］Hamid M A, AbdullahAlWadud M, Chong I. Multichannel MAC protocol for wireless sensor networks: A schedulebased approach ［C］∥ International Conference on Information Networking. Spain, Barcelona: IEEE Press, 2011: 6873.

［5］Ramakrishnan M, Vanaja R P. Multi channel MAC implementation for wireless sensor networks ［C］∥ International Conference on Advances in Computing, Control, and Telecommunication Technologies. India Trivandrum, Kerala: IEEE Press, 2010: 809813.
［6］Kwong K H, Wu T T, Michie C, et al. A selforganizing multichannel medium access control (SMMAC) protocol for wireless sensor networks ［C］∥ Second International Conference on Communications and Networking in China (CHINACOM). Shanghai, China: IEEE Press, 2008: 845849.
［7］Li J B, Zhang D S. M&M: A multichannel MAC protocol with multiple channel reservation for wireless sensor networks ［C］∥ International Conference on CyberEnabled Distributed Computing and Knowledge Discovery. Huangshan: IEEE Press, 2010: 113120.
［8］Wu T T, Kwong K H, Michie C, et al. Selforganize multichannel random selection medium access control protocol for wireless sensor networks ［C］∥ The 5th Consumer Communications and Networking Conference. USA, Las Vegas: IEEE Press, 2008: 569570.
［9］Cagley R E, McNally S A, Wiatt M R. Dynamic channel allocation for dynamic spectrum use in wireless sensor networks ［C］∥ IEEE Military Communications Conference (MILCOM). USA, Washington: IEEE Press, 2007: 15.
［10］Motamedi A, Bahai A. MAC protocol design for spectrumagile wireless networks: Stochastic control approach ［C］∥ The 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Ireland, Dublin: IEEE Press, 2007: 448451.
［11］Jouini W, Ernst D, Moy C, et al. Multiarmed bandit based policies for cognitive radio’s decision making issues ［C］∥ The 3rd International Conference on Signals, Circuits and Systems. Medenine: IEEE Press, 2010: 16.

[1]	ZHANG Ying (张颖), LI Peisong (李培嵩), MAO Lin (毛林). Research on Improved Low-Energy Adaptive Clustering Hierarchy Protocol in Wireless Sensor Networks [J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(5): 613-619.
[2]	SHI Chao1,QIU Hongbing1，2,WANG Junyi2,LI Xiaoyan1. Time Synchronization for Wireless Sensor Networks Based on Gossip Algorithm [J]. Journal of Shanghai Jiaotong University, 2014, 48(03): 351-356.
[3]	WANG Fang 1 (王芳), WEI Zhe2 (魏哲). Energy-Saving Reputation Method for Wireless Sensor Networks [J]. Journal of shanghai Jiaotong University (Science), 2012, 17(2): 223-227.
[4]	ZHOU Gui-Yin, HE Chen, JIANG Ling-Ge. Single Transceiver and Network Characteristics Based MAC Protocol for Cognitive Radio Wireless Sensor Networks [J]. Journal of Shanghai Jiaotong University, 2012, 46(11): 1729-1735.
[5]	ZHOU 南Run-1, 2 , JIANG Qiong-Xi-1, GONG Li-Hua-1. Key Predistribution Scheme Based on CRT and LU Matrix for Wireless Sensor Networks [J]. Journal of Shanghai Jiaotong University, 2012, 46(11): 1800-1805.
[6]	ZHANG Rui-Hua-1, JIA Zhi-Ping-1, CHENG He-You-2. The Routing Algorithm for WSNs Based on Unequal Clustering and Minimum Energy Consumption [J]. Journal of Shanghai Jiaotong University, 2012, 46(11): 1774-1778.
[7]	CHEN De-Fu, TAO Zheng-Su, ZHU Jian-Ping. An Adaptive and Asynchronous MAC Protocol for Wireless Sensor Networks [J]. Journal of Shanghai Jiaotong University, 2011, 45(10): 1521-1525.
[8]	DENG Han-Lin, LI Lei, HUANG He-Qing, YUAN Xiao-Bing, WANG Ying-Guan. Energy Consumption Analysis and Improvement Strategy for ClusterHead Rotation in Wireless Sensor Networks [J]. Journal of Shanghai Jiaotong University, 2011, 45(03): 321-0326.