A Self-Organizing Multi-Channel Medium Access Control (SMMAC) Protocol for Wireless Sensor Networks

Kwong, Kae-Hsiang; Wu, Tsung-Ta; Michie, Craig; Andonović, Ivan

doi:10.1109/chinacom.2007.4469516

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Similar distributed approaches are also proposed, e.g. the SM-MAC protocol [13], where the heterogeneous network nodes negotiate over a common control channel to make agreements regarding spectrum usage. However, synchronization and robustness issues as well as difficulties in detecting qualitative control channels in an area may affect both the efficiency and the viability of such approaches.…”

Section: Related Workmentioning

confidence: 99%

Cognitive radio-aided wireless sensor networks for emergency response

Arkoulis

Spanos

Barbounakis

et al. 2010

Meas. Sci. Technol.

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A lot of research effort has been put into wireless sensor networks (WSNs) and several methods have been proposed to minimize the energy consumption and maximize the network's lifetime. However, little work has been carried out regarding WSNs deployed for emergency situations. We argue that such WSNs should function under a flexible channel allocation scheme when needed and be able to operate and adapt in dynamic, ever-changing environments coexisting with other interfering networks (IEEE 802.11b/g, 802.15.4, 802.15.1). In this paper, a simple and efficient method for the detection of a single operational frequency channel that guarantees satisfactory communication among all network nodes is proposed. Experimental measurements carried out in a real environment reveal the coexistence problem among networks in close proximity that operate in the same frequency band and prove the validity and efficiency of our approach.

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Section: Related Workmentioning

confidence: 99%

Cognitive radio-aided wireless sensor networks for emergency response

Arkoulis

Spanos

Barbounakis

et al. 2010

Meas. Sci. Technol.

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Improved Performance on Wireless Sensors Network Using Multi-Channel Clustering Hierarchy

Rizky

Mustafid

Mantoro

2022

JSAN

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Wireless sensor network is a network consisting of many sensor nodes that function to scan certain phenomena around it. WSN has quite a large problem in the form of delay and data loss which results in low WSN performance. This study aims to improve WSN performance by developing a cluster-based routing protocol. The cluster formation is carried out in several stages. The first is the formation of the cluster head which is the channel reference to be used by node members by means of probability calculations. The second determines the closest node using the Euclidean approach when looking for the closest member of the node to the cluster head. The third is determination of the node members by means of single linkage grouping by looking for proximity to CH. The performance of the proposed MCCH method is then tested and evaluated using QoS parameters. The results of this research evaluation use QoS parameters for testing the MCCH method, channel 1 throughput 508.165, channel 2 throughput 255.5661, channel 3 throughput 479.8289, channel 4 throughput 646.5618.

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A Self-Organizing Multi-Channel Medium Access Control (SMMAC) Protocol for Wireless Sensor Networks

Cited by 2 publications

References 10 publications

Cognitive radio-aided wireless sensor networks for emergency response

Cognitive radio-aided wireless sensor networks for emergency response

Improved Performance on Wireless Sensors Network Using Multi-Channel Clustering Hierarchy

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