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Wireless Networks
Erschienen in: Wireless Networks 2/2020

24.10.2018

EnRI-MAC: an enhanced receiver-initiated MAC protocol for various traffic types in wireless sensor networks

verfasst von: Jaeho Lee, Seungku Kim

Erschienen in: Wireless Networks | Ausgabe 2/2020

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Abstract

Energy consumption is the most significant factor determining the performance of wireless sensor networks. Most medium access control (MAC) protocols operate based on a duty-cycle mechanism to reduce idle listening time that contributes a significant portion of the sensor node battery depletion. Many conventional MAC protocols focus on enhancing the unicast traffic performance based on the duty-cycle; however, most of them have overlooked other traffic types. In this paper, we propose an enhanced receiver-initiated MAC (EnRI-MAC) protocol to support various traffic types in wireless sensor networks. The EnRI-MAC decreases two important contributors to energy depletion: duplicated transmission and retransmission. In the EnRI-MAC, the duplicated transmission decreases by assigning a rendezvous time for receiving broadcast and multicast data, and the retransmission is reduced by significantly decreasing the collision probability. We have verified the performance of the proposed EnRI-MAC in comparison with the RI-MAC using the ns-2 simulation. The simulation results indicate that the EnRI-MAC achieves improved broadcast and convergecast performance compared with that of the RI-MAC in terms of duty-cycle ratio and delivery latency, while maintaining identical unicast performance.
Vorheriger Artikel Energy efficient resource matching algorithm for multi-homing services in dynamic wireless environment
Nächster Artikel Dynamic modulation scaling enabled multi-hop topology control for time critical wireless sensor networks

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Metadaten
Titel
EnRI-MAC: an enhanced receiver-initiated MAC protocol for various traffic types in wireless sensor networks
verfasst von
Jaeho Lee
Seungku Kim
Publikationsdatum
24.10.2018
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 2/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-018-1854-5

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