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Survey on Multi-Objective Task Allocation Algorithms for IoT Networks
DOI:10.3390/s23010142.png)
摘要
En 中文
The Internet of Things (IoT) has been an area of growing research interest for decades. Task allocation is an important problem for the optimized operation of Internet-of-Things networks. This paper provides an overview of recent research in the field of Internet-of-Things task allocation optimization. First, the task allocation problem for the IoT itself is analyzed and divided into distinct sub-problem categories, such as deployment optimization, static or dynamic optimization as well as single- or multi-objective optimization. Following that, the commonly used optimization objectives are explained. Various recent works in the field of task allocation optimization are then summarized and catalogued according to the problem categories. Finally, the paper concludes with a qualitative analysis of the categorized approaches and a description of open problems and highlights promising directions for future research.
Keyword:
task allocation
IoT
optimization
multi-objective
survey
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期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Workload Allocation Mechanism for Minimum Service Delay in Edge Computing-Based Power Internet of Things
IEEE ACCESS
IF3.6
A Survey of Task Allocation: Contrastive Perspectives From Wireless Sensor Networks and Mobile Crowdsensing
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IF3.6

