IEEE Transactions on Industrial Informatics, Volume (14), No (5), Year (2018-5) , Pages (1876-1886)

Title : ( Hierarchical Clustering-task Scheduling Policy in Cluster-based Wireless Sensor Networks )

Authors: Peyman Neamatollahi , Saeid Abrishami , Mahmoud Naghibzadeh , Mohammad Hossein Yaghmaee Moghaddam , O.Younes ,

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Abstract

Organizing sensor nodes into a clustered architecture is an effective method for load balancing and prolonging the network lifetime. However, a serious drawback of the clustering approach is the imposed energy overhead caused by the "global" clustering operations in every round of the Global Round-Based Policy (GRBP). To mitigate this problem, this work proposes a Hierarchical Clustering-task Scheduling Policy (HCSP), which triggers node-driven clustering as opposed to GRBP's time-driven clustering. Based on HCSP, each cluster is reconfigured only once at each local super round. Therefore, the cluster reconfiguration frequency varies on-demand. However, in order to refresh the entire network structure, global clustering is performed at the end of every global hyper round. Accordingly, HCSP aims to achieve a more flexible, energy-efficient, and scalable clustering-task scheduling than that of GRBP. Energy consumption calculations and extensive simulations show the effectiveness of HCSP in saving energy, and thus in prolonging the network lifetime.

Keywords

, Protocols, Job shop scheduling, Wireless sensor networks, Clustering algorithms, Schedules, Load management
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@article{paperid:1065109,
author = {Neamatollahi, Peyman and Abrishami, Saeid and Naghibzadeh, Mahmoud and Yaghmaee Moghaddam, Mohammad Hossein and O.Younes},
title = {Hierarchical Clustering-task Scheduling Policy in Cluster-based Wireless Sensor Networks},
journal = {IEEE Transactions on Industrial Informatics},
year = {2018},
volume = {14},
number = {5},
month = {May},
issn = {1551-3203},
pages = {1876--1886},
numpages = {10},
keywords = {Protocols; Job shop scheduling; Wireless sensor networks; Clustering algorithms; Schedules; Load management},
}

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%0 Journal Article
%T Hierarchical Clustering-task Scheduling Policy in Cluster-based Wireless Sensor Networks
%A Neamatollahi, Peyman
%A Abrishami, Saeid
%A Naghibzadeh, Mahmoud
%A Yaghmaee Moghaddam, Mohammad Hossein
%A O.Younes
%J IEEE Transactions on Industrial Informatics
%@ 1551-3203
%D 2018

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