Tradeoff Between Throughput and Energy Consumption in Multirate Wireless Sensor Networks

被引:14
作者
Xie, Dongliang [1 ]
Wei, Wenping [1 ]
Wang, Yu [1 ]
Zhu, Hongsong [2 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] Chinese Acad Sci, Inst Informat Engn, Beijing 100093, Peoples R China
基金
中国国家自然科学基金;
关键词
Fairness; multirate; wireless sensor network; FAIRNESS; LIFETIME;
D O I
10.1109/JSEN.2013.2277851
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
In wireless networks, multirate capability will facilitate using channel resource and reducing the bit error rate effectively. Current contention-based MAC protocols, however, behave inefficiently in multirate situations, leading to the performance anomaly problem. This paper researches the throughput deterioration in multirate wireless sensor networks. Initially, this paper refers to the notion of fairness to solve the performance deterioration problem and demonstrates that the utility maximization of throughput will be achieved when each contending node receives an equal proportion of channel occupancy time. Besides, considering the intrinsic tradeoff between throughput optimization and energy consumption optimization, the paper converts the tradeoff to the regulation of single node's channel access probability, which is determined by node's data rate and energy level. Finally, based on the contention-based MAC algorithm, the paper proposes an improved MAC protocol. Simulation validates that different application demands between throughput and lifetime can be adjusted flexibly and efficiently by regulating the tradeoff factor in the algorithm.
引用
收藏
页码:3667 / 3676
页数:10
相关论文
共 50 条
[41]   Data Transmission Protocol for Reducing the Energy Consumption in Wireless Sensor Networks [J].
Alhussaini, Rafal ;
Idrees, Ali Kadhum ;
Salman, Mahdi Abed .
NEW TRENDS IN INFORMATION AND COMMUNICATIONS TECHNOLOGY APPLICATIONS, NTICT 2018, 2018, 938 :35-49
[42]   A Greedy Minimum Energy Consumption Forwarding Protocol for Wireless Sensor Networks [J].
Panigrahi, Bighnaraj ;
De, Swades ;
Luk, Jean-Daniel Lan Sun .
2009 FIRST INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS (COMSNETS 2009), 2009, :58-+
[43]   Energy Consumption Analysis on Gradient Sinking Model in Wireless Sensor Networks [J].
Liu, Tao ;
Li, Zhishu .
IEICE TRANSACTIONS ON COMMUNICATIONS, 2012, E95B (02) :607-610
[44]   TECHNIQUES FOR REDUCING THE ENERGY CONSUMPTION IN NODES OF WIRELESS SENSOR NETWORKS:A SURVEY [J].
Anita, R. ;
Jebadurai, Immanuel Johnraja ;
Kathrine, JaspherWillsie ;
Leelipushpam, Getzi Jeba .
PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2019), 2019, :402-406
[45]   Finding the number of clusters minimizing energy consumption of wireless sensor networks [J].
Kim, Hyunsoo ;
Youn, Hee Yong .
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 3, 2006, 3982 :852-861
[46]   Research of Minimum Energy Consumption Topology Construction in Wireless Sensor Networks [J].
Sun Chao ;
Chen Bai ;
Dou Jingjing ;
Wang Xinlin ;
Liu Bin .
2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8, 2009, :3184-+
[47]   Lifetime optimization of wireless sensor networks with sleep mode energy consumption of sensor nodes [J].
Diane Tchuani Tchakonté ;
Emmanuel Simeu ;
Maurice Tchuente .
Wireless Networks, 2020, 26 :91-100
[48]   Lifetime optimization of wireless sensor networks with sleep mode energy consumption of sensor nodes [J].
Tchakonte, Diane Tchuani ;
Simeu, Emmanuel ;
Tchuente, Maurice .
WIRELESS NETWORKS, 2020, 26 (01) :91-100
[49]   Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Networks [J].
Gul, Omer Melih ;
Demirekler, Mubeccel .
SENSORS, 2017, 17 (10)
[50]   Evolving Clustering Algorithms for Wireless Sensor Networks with Various Radiation Patterns to Reduce Energy Consumption [J].
Sheta, Alaa F. ;
Solaiman, Basma .
2015 SCIENCE AND INFORMATION CONFERENCE (SAI), 2015, :1037-1045