Dense Clustered Multi-Channel Wireless Sensor Cloud

Journal of Sensor and Actuator Networks

Sivaramakrishnan Sivakumar¹  Adnan Al-Anbuky² 

[1] SeNSe Lab, AUT University, 24 St. Paul Street, Auckland 1010, New Zealand; E-Mail

关键词: multi-channel;    clustering;    IoT;    sensor cloud;   

DOI  :  10.3390/jsan4030208

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.