Data Transmission Mechanism Supporting Fairness and QoS in Wireless Sensor Networks

Article Preview

Abstract:

In this paper we propose a data transmission mechanism that supports fairness and Quality of Service (QoS) in a wireless sensor networks (WSNs). In this mechanism the received or measured data traffics will be assigned a priority level according to its transmission urgency. And the load prediction algorithm is used to support the fairness between different priority traffics. For this, the buffer length values of the nodes are continuously monitored for some period. Based on the buffer length variations for this period, the order of transmission is determined. FQSM also adapts cross-layer concept to rearrange the data transmission order in each sensor node's buffer, saves energy consumption by allowing few nodes in data transmission, and prolongs the network lifetime

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

1757-1760

Citation:

Online since:

January 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] W. Ye, J. Heidemann, and D. Estrin: Medium access control with coordinated adaptive sleeping for wireless sensor networks (IEEE/ACM Transaction on Networking, Vol. 12, Issue3 2004).

DOI: 10.1109/tnet.2004.828953

Google Scholar

[2] T. Dam, K. Langendoen: An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks (ACM Sensys'03, USA 2003).

DOI: 10.1145/958491.958512

Google Scholar

[3] Tang Zhenzhou, Hu Qian: An Adaptive Low Latency Cross-Layer MAC Protocol for Wireless Sensor Networks (8th IEEE International Conference on Dependable, Autonomic and Secure Computing, pp.389-393, 2009).

DOI: 10.1109/dasc.2009.53

Google Scholar

[4] Liu Yang, Elhanany Itamar, Qi Hairong: An energy-efficient QoS-aware media access control protocol for wireless sensor networks (Proceedings of the IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS 2005), U.S.A. 2005).

DOI: 10.1109/mahss.2005.1542798

Google Scholar

[5] Manish Kumar Jha, Atul Kumar Pandey, Dipankar Pal, Anand Mohan: An energy-efficient multi-layer MAC(ML-MAC) protocol for wireless sensor networks (International Journal of Electronics and Communications, 2010).

DOI: 10.1016/j.aeue.2010.03.006

Google Scholar

[6] Navrati Saxena, A. Roy, and Jitae Shin: Dynamic duty cycle and adaptive contention window based QoS-MAC protocol for wireless multimedia sensor networks (Computer Networks, vol. 52, pp.2532-2542, 2008).

DOI: 10.1016/j.comnet.2008.05.009

Google Scholar

[7] Yong Yuan, Zongkai Yang, Zhihai He, Jianhua He: An integrated energy aware wireless transmission system for QoS provisioning in wireless sensor network (Computer Communication, vol. 29, pp.162-172, 2006).

DOI: 10.1016/j.comcom.2005.05.015

Google Scholar

[8] Paek K J, Kim J, Song U S, Hwang C S: Priority-based medium access control protocol for providing QoS in wireless sensor networks (IEICE Transactions on Information and Systems, 2007).

DOI: 10.1093/ietisy/e90-d.9.1448

Google Scholar

[9] B. Yahya, J. Ben-Othman: Energy efficient and QoS aware medium access control for wireless sensor networks, " Concurrency and Computation: Practice and Experience (Vol. 22 Issue 10, pp.1252-1266, 2010).

DOI: 10.1002/cpe.1579

Google Scholar

[10] Nikola Zogovica and Goran Dimic: Wireless Sensor network: QoS Provisioning at MAC and Physical layers (17th Telecommunication forum TELFOR 2009, Belgrade Nov. 2009).

Google Scholar

[11] B. Ruzena, E. C. Tien: Congestion control and fairness for many-to-one routing in sensor networks (ACM Sensys, Baltimore, MD, USA, 2004).

Google Scholar

[12] Kuang Zhufang, Yang Guogui: An Adaptive Fairness Model in Wireless Sensor Networks (Int. Conference on Electronics and Business Intelligence, 2009).

DOI: 10.1109/ecbi.2009.72

Google Scholar