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| Title: | Energy-efficient rate adaptation MAC protocol for ad hoc wireless networks |
| Author (s): | Zawodniok, Maciej Jan Sarangapani, Jagannathan |
| Department/Lab Affiliations: | Computer Science Electrical and Computer Engineering Engineering Management & Systems Engineering Intelligent Systems Center |
| Keywords: | congestion control dynamic programming energy-efficiency rate adaptation wireless sensor networks |
| Issue Date: | 2007 |
| Publisher: | Springer Verlag |
| Citation: | M. Zawodniok and S. Jagannathan. "Energy-efficient rate adaptation MAC protocol for ad hoc wireless networks." International Journal of Wireless Information Networks, Vol. 14(4), Dec. 2007, pp. 251-263. |
| Abstract: | In this paper, two novel energy-efficient rate adaptation schemes are presented. The proposed protocols use the Distributed Power Control (DPC) algorithm to predict the channel state and determine the necessary transmission power which optimizes the energy consumption. The first proposed rate adaptation scheme heuristically alters the modulation rate to balance the energy-efficiency and the required throughput which is estimated with queue fill ratio. Moreover, the back-off scheme is incorporated to mitigate congestion and reduce packet losses due to buffer overflows thus minimizing energy consumption. Consequently, the nodes will conserve energy when the traffic is low, offer higher throughput when needed and save energy during congestion by limiting transmission rates. The second rate adaptation scheme employs dynamic programming (DP) principle to analytically select modulation rate and a burst size to be used during transmission. The proposed quadratic cost-function minimizes the energy consumption while alleviating network congestions and buffer overflows. The proposed DP solution renders a Riccati equation ultimately providing an optimal rate selection. The simulation results indicate that an increase in throughput by 96% and energy-efficiency by 131% is observed when compared to other available protocols, for example Receiver Based AutoRate (RBAR). |
| Type: | Article - Journal text |
| In Title: | International Journal of Wireless Information Networks |
| Copyright Notice: | Pre-print: author can archive; Post-print: author can archive; This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: |
| Publisher URL: | |
| Link to this page: |
| title | Energy-efficient rate adaptation MAC protocol for ad hoc wireless networks |
| contributor.author | Zawodniok, Maciej Jan |
| contributor.author | Sarangapani, Jagannathan |
| contributor.deptlab | Computer Science |
| contributor.deptlab | Electrical and Computer Engineering |
| contributor.deptlab | Engineering Management & Systems Engineering |
| contributor.deptlab | Intelligent Systems Center |
| contributor.sponsor | National Science Foundation |
| subject | congestion control |
| subject | dynamic programming |
| subject | energy-efficiency |
| subject | rate adaptation |
| subject | wireless sensor networks |
| date.issued | 2007 |
| publisher | Springer Verlag |
| identifier.citation | M. Zawodniok and S. Jagannathan. "Energy-efficient rate adaptation MAC protocol for ad hoc wireless networks." International Journal of Wireless Information Networks, Vol. 14(4), Dec. 2007, pp. 251-263. |
| identifier.pub.URI | |
| description.abstract | In this paper, two novel energy-efficient rate adaptation schemes are presented. The proposed protocols use the Distributed Power Control (DPC) algorithm to predict the channel state and determine the necessary transmission power which optimizes the energy consumption. The first proposed rate adaptation scheme heuristically alters the modulation rate to balance the energy-efficiency and the required throughput which is estimated with queue fill ratio. Moreover, the back-off scheme is incorporated to mitigate congestion and reduce packet losses due to buffer overflows thus minimizing energy consumption. Consequently, the nodes will conserve energy when the traffic is low, offer higher throughput when needed and save energy during congestion by limiting transmission rates. The second rate adaptation scheme employs dynamic programming (DP) principle to analytically select modulation rate and a burst size to be used during transmission. The proposed quadratic cost-function minimizes the energy consumption while alleviating network congestions and buffer overflows. The proposed DP solution renders a Riccati equation ultimately providing an optimal rate selection. The simulation results indicate that an increase in throughput by 96% and energy-efficiency by 131% is observed when compared to other available protocols, for example Receiver Based AutoRate (RBAR). |
| type | Article - Journal |
| type.DCMIType | text |
| type.status | Postprint |
| rights | Pre-print: author can archive; Post-print: author can archive; |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights.URI | |
| rights.URI | |
| relation.isPartOf | International Journal of Wireless Information Networks |
| date.available | 2008-07-15T14:36:14Z |
| identifier.persist.URI |