Advantages of Dual Channel MAC for Wireless Sensor Networks

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Title: Advantages of Dual Channel MAC for Wireless Sensor Networks
Authors: Ruzzelli, Antonio G.
O'Hare, G. M. P. (Greg M. P.)
Jurdak, Raja
Tynan, Richard
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Date: Jan-2006
Abstract: Traditional low cost radios for wireless sensor networks operate with one frequency channel at any given time. However, recent advances in radio hardware for WSNs made available transceivers that can support two simultaneous channels. In this work, we investigate the benefits of using two parallel independent frequency channels at the MAC layer. In particular, the paper introduces a technique of Dual Channel Multiple Access with Adaptive Preamble (DCMA/AP). The protocol uses two separate frequencies for data and control packets to avoid the use of handshake mechanisms (e.g. RTS/CTS) in order to reduce energy consumption and packet delay. To address the hidden and exposed terminal problems, DCMA/AP enables a receiver to send a busy tone signal on the control channel to notify neighbors that an ongoing reception is in progress. As a result, packet collisions are nullified with an increase of node throughput. Furthermore, an adaptive preamble mechanism in DCMA/AP avoids secondary processes of node synchronization together with a reduction of idle listening of receiving nodes that are considered to be one of the major sources of energy consumption in wireless sensor networks. Finally, DCMA/AP introduces a mechanism of opportunistic crossover speeds up the process of packet forwarding by pre-announcing the successive candidate node intended to receive the packet.
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2006, IEEE
Keywords: Wireless sensor networks
DOI: 10.1109/COMSWA.2006.1665223
Language: en
Status of Item: Peer reviewed
Conference Details: 1st International Workshop on Software for Sensor Networks, In Proceedings of the International Conference on communication system software and middleware, New Delhi, India, January, 2006
Appears in Collections:Computer Science Research Collection

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