.png){kind=icon}
返回
Availability-Aware Multiobjective Task Allocation Algorithm for Internet of Things Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2022.3170482.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Node failures are known to be among the generic problems in Internet of Things (IoT) networks. These failures can be caused by communication disturbances, battery depletion, or even hardware faults. The larger the IoT network and the larger the task to be executed in the network, the higher is the probability of a node failure in the relevant part of the network. This article studies the node failures and proposes a new task allocation algorithm based on multiobjective optimization to address this issue. This article proposes a specialized archive-selection mechanism to enhance diversity in the search space of the so-called multiobjective task allocation algorithm (MOTA). High diversity in the archive allows a reliable selection of alternative task assignments in the case of node failures in the IoT network. We evaluate the performance of the proposed approach regarding the network lifetime, its latency, and its availability, using a network simulation model and compare the results with the baseline MOTA and the dynamic task allocation scheduler (DTAS). The results show that the proposed approach provides significant performance improvements over the existing algorithms, especially in scenarios with high task-to-node ratios.
Keyword:
Task analysis
Resource management
Reliability
Optimization
Heuristic algorithms
Wireless sensor networks
Hardware
Availability
efficient communications
multiobjective optimization
reliability
task allocation for Internet of Things (IoT)
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏Alterations in Plasma Lipid, Lipoprotein and Apolipoprotein Concentrations in Copper-Deficient Rats
OAAI
OAAI分享收藏Lipid bilayer thickness varies linearly with acyl chain length in fluid phosphatidylcholine vesicles
PREAI
分享收藏
查看更多内容