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DOI: 10.14569/IJACSA.2016.071134
PDF

ETEEM- Extended Traffic Aware Energy Efficient MAC Scheme for WSNs

Author 1: Younas Khan
Author 2: Sheeraz Ahmed
Author 3: Fakhri Alam Khan
Author 4: Imran Ahmad
Author 5: Saqib Shahid Rahim
Author 6: M. Irfan Khattak

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 11, 2016.

  • Abstract and Keywords
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Abstract: Idle listening issue arises when a sensor node listens to medium despite the absence of data which results in consumption of energy. ETEEM is a variant of Traffic Aware Energy Efficient MAC protocol (TEEM) which focuses on energy optimization due to reduced idle listening time and much lesser overhead on energy sources. It uses a novel scheme for using idle listening time of sensor nodes. The nodes are only active for small amount of time and most of the time, will be in sleep mode when no data is available. ETEEM reduces energy at byte level and uses a smaller byte packet called FLAG replacing longer byte SYNC packets of S-MAC and SYNCrts of TEEM respectively. It also uses a single acknowledgement packet per data set hence reducing energy while reducing frequency of the acknowledgment frames sent. The performance of ETEEM is 70% better comparative to other under-consideration MAC protocols.

Keywords: Energy Consumption; Multi-hop; Network Allocator Vector; Throughput; Wireless Sensor Networks

Younas Khan, Sheeraz Ahmed, Fakhri Alam Khan, Imran Ahmad, Saqib Shahid Rahim and M. Irfan Khattak, “ETEEM- Extended Traffic Aware Energy Efficient MAC Scheme for WSNs” International Journal of Advanced Computer Science and Applications(IJACSA), 7(11), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071134

@article{Khan2016,
title = {ETEEM- Extended Traffic Aware Energy Efficient MAC Scheme for WSNs},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071134},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071134},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {11},
author = {Younas Khan and Sheeraz Ahmed and Fakhri Alam Khan and Imran Ahmad and Saqib Shahid Rahim and M. Irfan Khattak}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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