Overhearing-Based Estimation Algorithm of Available Bandwidth in Wireless Sensor Networks

doi:10.3969/j.issn.1000-565X.2010.01.011

Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (1): 54-58.doi: 10.3969/j.issn.1000-565X.2010.01.011

• Electronics, Communication & Automation Technology • Previous Articles Next Articles

Overhearing-Based Estimation Algorithm of Available Bandwidth in Wireless Sensor Networks

Chen Chen¹Gao Xin-bo²Pei Qing-qi¹

1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi＇an 710071, Shaanxi, China; 2. School of Electronic Engineering, Xidian University, Xi＇an 710071, Shaanxi, China

Received:2009-04-07 Revised:2009-08-22 Online:2010-01-25 Published:2010-01-25
Contact: 陈晨（1977-），男，博士生，主要从事无线近距离通信、网络测量和传感器网络研究． E-mail:cc2000@mail．xidian．edu.cn
About author:陈晨（1977-），男，博士生，主要从事无线近距离通信、网络测量和传感器网络研究．
Supported by:
国家自然科学基金重点项目(60832005)；国家自然科学基金资助项目(60803151)；NSFC一广东联合基金重点项
目(U0835004)；高等学校学科创新引智计划项目(B08038)；国家“863”计划项目(2007AA01Z215)

Abstract

Abstract:

Available bandwidth plays an important role in routing selection, load balance, multi-sink deployment and priority transmission in wireless sensor networks. This paper focuses on the available bandwidth and proposes an overheating-based estimation scheme of available bandwidth in S-MAC protocol-based wireless sensor networks. When the overhearing mechanism is enabled in S-MAC, the network allocation vectors stored in the RTS/CTS/DATA/ ACK packets of neighbour nodes are recorded in the buffer in the form of a table, and the available bandwidth is thus calculated. Simulated results show that the proposed method can accurately estimate the network load and cornpetition level regarding the investigated S-MAC nodes

Key words: wireless sensor network, available bandwidth, overhearing

Chen Chen Gao Xin-bo Pei Qing-qi . Overhearing-Based Estimation Algorithm of Available Bandwidth in Wireless Sensor Networks[J]. Journal of South China University of Technology (Natural Science Edition), 2010, 38(1): 54-58.

[1]	CHEN Feng, MAO Haobin, CAI Jiling, et al. Multidimensional cross-layer bandwidth prediction for low-latency real-time video [J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(11): 18-27.
[2]	ZHENG Weiguo CAI Min HE Xiaoyong . A Compact Super-Ｒegenerative Ｒeceiver with Ｒeference-Class Accuracy of Frequency [J]. Journal of South China University of Technology (Natural Science Edition), 2018, 46(3): 65-71.
[3]	KUO Yong-hong ZHOU Bi-rong CHEN Jian. Energy-Efficient Cooperative Transmission for SWIPT in WSNs [J]. Journal of South China University of Technology (Natural Science Edition), 2017, 45(12): 36-42.
[4]	GUO Li-li GAO Fei SUN Zhi-guo. A Distributed Detection Algorithm Based on Local Soft Decision [J]. Journal of South China University of Technology (Natural Science Edition), 2016, 44(1): 16-21.
[5]	ZHANG Rui-hua CHENG He-you LIANG Yu. Event Detection Scheme Based on Max-Flow /Min-Cut Algorithm [J]. Journal of South China University of Technology (Natural Science Edition), 2016, 44(1): 139-144.
[6]	Wang Wei-xing Huang Hong Sun Dao-zong Li Liang-bin Hu Zi-ang . Energy Heterogeneity-Based Multi-Chain Algorithm for WSN [J]. Journal of South China University of Technology (Natural Science Edition), 2015, 43(9): 74-80.
[7]	Huang Zhi- yong Zhang Xin. Localization Algorithm Based on Classification of Distance Estimation Methods for Wireless Sensor Networks [J]. Journal of South China University of Technology (Natural Science Edition), 2014, 42(1): 77-83.
[8]	Hu Xiao-qing Xu Bu-gong Wen Sha Liu Yong-gui. An Energy-Balanced Optimal Distributed Clustering Mechanism [J]. Journal of South China University of Technology(Natural Science Edition), 2012, 40(8): 1-7.
[9]	Wu Yu-cheng Li Jiang-wen. Improved DV-Hop Localization Algorithm Based on Optimal Communication Radius of Nodes [J]. Journal of South China University of Technology(Natural Science Edition), 2012, 40(6): 36-42.
[10]	Li Lan Wen-jun. Cross-Layer Directed Diffusion Routing Algorithm Based on Cayley Graph [J]. Journal of South China University of Technology(Natural Science Edition), 2012, 40(6): 118-125.
[11]	Li lan Xiao Wen-jun Wei Wen-hong. Routing Algorithm for Wireless Sensor Networks Based on Borel Metacyclic Topology [J]. Journal of South China University of Technology(Natural Science Edition), 2012, 40(4): 30-36.
[12]	Xu Bu-gong Liu Gui-yun. Robust Distributed Estimation in Wireless Sensor Networks [J]. Journal of South China University of Technology(Natural Science Edition), 2012, 40(10): 198-202.
[13]	Mo Lei Xu Bu-gong. Energy Optimization Strategy for Target Tracking in Wireless Sensor Networks [J]. Journal of South China University of Technology (Natural Science Edition), 2011, 39(7): 13-20.
[14]	Chen Feng-chao Li Rong-lin. Routing Cost-Based Ant Colony Routing Algorithm for Wireless Sensor Networks [J]. Journal of South China University of Technology (Natural Science Edition), 2011, 39(5): 36-43.
[15]	Sun Zhong-gao Zheng Zi-wei Xu Shao-juan. Dual Selection Mechanism-Based Clustering Algorithm for Wireless Sensor Networks [J]. Journal of South China University of Technology (Natural Science Edition), 2011, 39(10): 13-18.

Overhearing-Based Estimation Algorithm of Available Bandwidth in Wireless Sensor Networks

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments