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18258 MC-LMAC: A multi-channel MAC protocol for wireless sensor networks
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Durmaz Incel, O. and van Hoesel, L.F.W. and Jansen, P.G. and Havinga, P.J.M. (2011) MC-LMAC: A multi-channel MAC protocol for wireless sensor networks. Ad Hoc Networks, 9 (1). pp. 73-94. ISSN 1570-8705 *** ISI Impact 1,660 ***

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In traditional wireless sensor network (WSN) applications, energy efficiency may be considered to be the most important concern whereas utilizing bandwidth and maximizing throughput are of secondary importance. However, recent applications, such as structural health monitoring, require high amounts of data to be collected at a faster rate. We present a multi-channel MAC protocol, MC-LMAC, designed with the objective of maximizing the throughput of WSNs by coordinating transmissions over multiple frequency channels. MC-LMAC takes advantage of interference and contention-free parallel transmissions on different channels. It is based on scheduled access which eases the coordination of nodes, dynamically switching their interfaces between channels and makes the protocol operate effectively with no collisions during peak traffic. Time is slotted and each node is assigned the control over a time slot to transmit on a particular channel. We analyze the performance of MC-LMAC with extensive simulations in Glomosim. MC-LMAC exhibits significant bandwidth utilization and high throughput while ensuring an energy-efficient operation. Moreover, MC-LMAC outperforms the contention-based multi-channel MMSN protocol, a cluster-based channel assignment method, and the single-channel CSMA in terms of data delivery ratio and throughput for high data rate, moderate-size networks of 100 nodes at different densities.

Item Type:Article
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:Smart Surroundings
Uncontrolled Keywords:Wireless sensor networks; MAC protocols; Multi-channel communication; Schedule based communication
ID Code:18258
Deposited On:06 September 2010
ISI Impact Factor:1,660
More Information:statisticsmetis

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