ECR-MAC: An Energy-efficient and Receiver-based MAC Protocol for Cognitive Sensor Networks in Smart Grid

被引:0
作者
Yang, Zhutian [1 ]
Ping, Shuyu [2 ]
Nallanathan, Arumugam [2 ]
Zhang, Lixian [3 ]
机构
[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin, Peoples R China
[2] Kings Coll London, Inst Telecommun, London, England
[3] Harbin Inst Technol, Space Control & Inertial Technol Res Ctr, Harbin, Peoples R China
来源
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC) | 2016年
关键词
smart grid; wireless sensor networks; cognitive radio; MAC protocol; energy-efficiency; RADIO;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Wireless Sensor Networks (WSNs) have been widely recognized as a promising solution for enhancing various aspects of electric power grid and realizing the vision of smart grid. However, energy crisis and challenging wireless environment in smart grid create a number of challenges for WSNs, as a result of which energy efficiency become critically important. On the other hand, cognitive radio (CR) technology is expected to play a vital role in smart grid networks. Cognitive Sensor Networks (CSNs) can effectively address some unique challenges of WSNs in smart grid. In this paper, we aim to design an energy efficient Medium Access Control (MAC) protocol for CSNs. In this regard, we propose ECR-MAC, which is an energy-efficient receiver-based MAC protocol for CSNs. ECR-MAC uses a energy-efficiency based auction mechanism and preamble sampling techniques for providing high energy efficiency and reliability. In addition, ECR-MAC explicitly accounts for the peculiarities of a CR environment. Analytical and simulation results demonstrate the effectiveness of ECR-MAC as a viable solution for CSNs.
引用
收藏
页码:331 / 336
页数:6
相关论文
共 26 条
[1]   CRB-MAC: A Receiver-Based MAC Protocol for Cognitive Radio Equipped Smart Grid Sensor Networks [J].
Aijaz, Adnan ;
Ping, Shuyu ;
Akhavan, Mohammad Reza ;
Aghvami, Abdol-Hamid .
IEEE SENSORS JOURNAL, 2014, 14 (12) :4325-4333
[2]   Cognitive Radio Sensor Networks [J].
Akan, Ozgur B. ;
Karli, Osman B. ;
Ergul, Ozgur .
IEEE NETWORK, 2009, 23 (04) :34-40
[3]   Wireless sensor networks: a survey [J].
Akyildiz, IF ;
Su, W ;
Sankarasubramaniam, Y ;
Cayirci, E .
COMPUTER NETWORKS, 2002, 38 (04) :393-422
[4]  
[Anonymous], 2012, Smart Grid Communications and Networking
[5]   Spectrum-Aware and Cognitive Sensor Networks for Smart Grid Applications [J].
Bicen, A. Ozan ;
Akan, Ozgur B. ;
Gungor, V. Cagri .
IEEE COMMUNICATIONS MAGAZINE, 2012, 50 (05) :158-165
[6]  
Brew M., 2011, 2011 IEEE Second International Conference on Smart Grid Communications (SmartGridComm 2011), P138, DOI 10.1109/SmartGridComm.2011.6102305
[7]   Communication Network Architecture and Design Principles for Smart Grids [J].
Budka, Kenneth C. ;
Deshpande, Jayant G. ;
Doumi, Tewfik L. ;
Madden, Mark ;
Mew, Tim .
BELL LABS TECHNICAL JOURNAL, 2010, 15 (02) :205-227
[8]  
Chiu WY, 2012, INT CONF SMART GRID, P73, DOI 10.1109/SmartGridComm.2012.6485962
[9]   TP-CRAHN: A Transport Protocol for Cognitive Radio Ad-hoc Networks [J].
Chowdhury, Kaushik R. ;
Di Felice, Marco ;
Akyildiz, Ian F. .
IEEE INFOCOM 2009 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-5, 2009, :2482-+
[10]   Sensing-Performance Tradeoff in Cognitive Radio Enabled Smart Grid [J].
Deng, Ruilong ;
Chen, Jiming ;
Cao, Xianghui ;
Zhang, Yan ;
Maharjan, Sabita ;
Gjessing, Stein .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (01) :302-310