Wireless Networks

, Volume 5, Issue 6, pp 445–460 | Cite as

Performance comparison of battery power consumption in wireless multiple access protocols

  • Jyh‐Cheng Chen
  • Krishna M. Sivalingam
  • Prathima Agrawal


Energy efficiency is an important issue in mobile wireless networks since the battery life of mobile terminals is limited. Conservation of battery power has been addressed using many techniques such as variable speed CPUs, flash memory, disk spindowns, and so on. We believe that energy conservation should be an important factor in the design of networking protocols for mobile wireless networks. In particular, this paper addresses energy efficiency in medium access control (MAC) protocols for wireless networks. The paper develops a framework to study the energy consumption of a MAC protocol from the transceiver usage perspective. This framework is then applied to compare the performance of a set of protocols that includes IEEE 802.11, EC‐MAC, PRMA, MDR‐TDMA, and DQRUMA*. The performance metrics considered are transmitter and receiver usage times for packet transmission and reception. The time estimates are then combined with power ratings for a Proxim RangeLAN2 radio card to obtain an estimate of the energy consumed for MAC related activities. The analysis here shows that protocols that aim to reduce the number of contentions perform better from an energy consumption perspective. The receiver usage time, however, tends to be higher for protocols that require the mobile to sense the medium before attempting transmission. The paper also provides a set of principles that could be applied when designing access protocols for wireless networks.

*EC‐MAC: energy‐conserving MAC. PRMA: packet reservation multiple access. MDR‐TDMA: multiservices dynamic reservation TDMA. DQRUMA: distributed‐queuing request update multiple access.


Energy Efficiency Wireless Network Medium Access Control Multiple Access Medium Access Control Protocol 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Kluwer Academic Publishers 1999

Authors and Affiliations

  • Jyh‐Cheng Chen
    • 1
  • Krishna M. Sivalingam
    • 2
  • Prathima Agrawal
    • 3
  1. 1.Telcordia TechnologiesMorristownUSA
  2. 2.School of Electrical Engineering & Computer Science, Washington State UniversityPullmanUSA
  3. 3.Telcordia TechnologiesMorristownUSA

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