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J. Sens. Actuator Netw. 2015, 4(3), 208-225; doi:10.3390/jsan4030208

Dense Clustered Multi-Channel Wireless Sensor Cloud

SeNSe Lab, AUT University, 24 St. Paul Street, Auckland 1010, New Zealand
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Author to whom correspondence should be addressed.
Academic Editor: Dharma P. Agrawal
Received: 12 April 2015 / Revised: 14 July 2015 / Accepted: 28 July 2015 / Published: 6 August 2015
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Abstract

Dense Wireless Sensor Network Clouds have an inherent issue of latency and packet drops with regards to data collection. Though there is extensive literature that tries to address these issues through either scheduling, channel contention or a combination of the two, the problem still largely exists. In this paper, a Clustered Multi-Channel Scheduling Protocol (CMSP) is designed that creates a Voronoi partition of a dense network. Each partition is assigned a channel, and a scheduling scheme is adopted to collect data within the Voronoi partitions. This scheme collects data from the partitions concurrently and then passes it to the base station. CMSP is compared using simulation with other multi-channel protocols like Tree-based Multi-Channel, Multi-Channel MAC and Multi-frequency Media Access Control for wireless sensor networks. Results indicate CMSP has higher throughput and data delivery ratio at a lower power consumption due to network partitioning and hierarchical scheduling that minimizes load on the network. View Full-Text
Keywords: multi-channel; clustering; IoT; sensor cloud multi-channel; clustering; IoT; sensor cloud
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sivakumar, S.; Al-Anbuky, A. Dense Clustered Multi-Channel Wireless Sensor Cloud. J. Sens. Actuator Netw. 2015, 4, 208-225.

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