Abstract
Resource constraints in ad hoc wireless networks require that they are energy efficient during both transmission and rate adaptation. In this paper, we propose a novel energy-efficient rate adaptation protocol that selects modulation schemes online to maximize throughput based on channel state while saving energy. This protocol uses the distributed power control (DPC) algorithm (M. Zawodniok et al., 2004) to accurately determine the necessary transmission power and to reduce the energy consumption. Additionally, the transmission rate is altered using energy efficiency as a constraint to meet the required throughput, which is estimated with queue fill ratio. Moreover, back-off scheme is incorporated to prevent energy wastage and to avoid retransmissions in the event of congestion. The back-off scheme employs backpressure mechanism to emulate congestion control. Consequently, the nodes will conserve energy when the traffic is low, offer higher throughput when needed and save energy during congestion by limiting transmission.
Recommended Citation
M. J. Zawodniok and J. Sarangapani, "Energy-efficient Rate Adaptation MAC Protocol for Ad Hoc Wireless Networks," Proceedings of the 24th IEEE International Performance, Computing, and Communications Conference, 2005, Institute of Electrical and Electronics Engineers (IEEE), Jan 2005.
The definitive version is available at https://doi.org/10.1109/PCCC.2005.1460595
Meeting Name
24th IEEE International Performance, Computing, and Communications Conference, 2005
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
DPC; Access Protocols; Ad Hoc Networks; Ad Hoc Wireless Network; Back-Off Scheme; Backpressure Mechanism; Congestion Control; Distributed Control; Distributed Power Control Algorithm; Energy Conservation; Energy Consumption; Maximization; Modulation; Modulation Scheme; Network Traffic; Optimisation; Power Control; Queueing Theory; Rate Adaptation MAC Protocol; Telecommunication Congestion Control; Telecommunication Traffic
International Standard Serial Number (ISSN)
1097-2641
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2005 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2005
Included in
Computer Sciences Commons, Electrical and Computer Engineering Commons, Operations Research, Systems Engineering and Industrial Engineering Commons