Hardware Task Scheduling for an FPGA-Based Mobile Robot in Wireless Sensor Networks

2012 ◽  
pp. 441-466
Author(s):  
Tyrone Kwok ◽  
Yu-Kwong Kwok
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Mobile Robot ◽  
Task Scheduling ◽  
Wireless Sensor

scholarly journals EOTS: An Energy-consumption Optimization-oriented Task Scheduling Algorithm for Wireless Sensor Networks

2016 ◽  
Vol 12 (07) ◽  
pp. 59
Author(s):  
Zeyu Sun ◽  
Yuanbo Li ◽  
Chuanfeng Li ◽  
Yalin Nie
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Task Scheduling ◽  
Energy Cost ◽  
Iterative Refinement ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Utilization Rate ◽  
Energy Consumption Optimization

<p><span style="font-family: Times New Roman;"><strong>The mismatch of task scheduling results in rapid network energy consumption during data transmission in wireless sensor networks. To address this issue, the paper proposed an </strong><strong>E</strong><strong>nergy-consumption </strong><strong>O</strong><strong>ptimization-oriented </strong><strong>T</strong><strong>ask </strong><strong>S</strong><strong>cheduling </strong><strong>A</strong><strong>lgorithm (EOTS algorithm) which formally described the overall power dissipation in the network system. On this basis, a network model was built up such that both the idle energy consumption in sensor nodes and energy consumption during the execution of tasks were taken into account, with which the whole task was effectively decomposed into sub-task sequences. They underwent simulated annealing and iterative refinement, with the intention of improving sensor nodes’ utilization rate, reducing local idle energy cost, as well as cutting down the overall energy consumption accordingly. The experiment result shows that under the environment of multi-task operation, from the perspective of energy cost optimization, the proposed scheduling strategy recorded an increase of 21.24% compared with the FIFO algorithm, and an increase of 16.77% in comparison to the EMRSA algorithm; while in light of network lifetimes, the EOTS algorithm surpassed the ECTA algorithm by a gain of 19.21%. Therefore, the effectiveness of the proposed EOTS algorithm is verified.</strong></span></p>

Fuzzy-Based Clustering-Task Scheduling for Lifetime Enhancement in Wireless Sensor Networks

2017 ◽  
Vol 17 (20) ◽  
pp. 6837-6844 ◽  
Author(s):  
Peyman Neamatollahi ◽  
Mahmoud Naghibzadeh ◽  
Saeid Abrishami
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Task Scheduling ◽  
Wireless Sensor ◽  
Lifetime Enhancement

Hierarchical Clustering-Task Scheduling Policy in Cluster-Based Wireless Sensor Networks

2018 ◽  
Vol 14 (5) ◽  
pp. 1876-1886 ◽  
Author(s):  
Peyman Neamatollahi ◽  
Saeid Abrishami ◽  
Mahmoud Naghibzadeh ◽  
Mohammad Hossein Yaghmaee Moghaddam ◽  
Ossama Younis
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Hierarchical Clustering ◽  
Task Scheduling ◽  
Wireless Sensor ◽  
Scheduling Policy
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