Evolutionary multi-objective set cover problem for task allocation in the Internet of Things

2021 ◽  
Vol 102 ◽  
pp. 107097
Author(s):  
Hussein M. Burhan ◽  
Bara’a A. Attea ◽  
Amenah D. Abbood ◽  
Mustafa N. Abbas ◽  
Mayyadah Al-Ani
Keyword(s):  
Internet Of Things ◽  
Task Allocation ◽  
Set Cover ◽  
The Internet ◽  
Multi Objective ◽  
Set Cover Problem ◽  
Cover Problem ◽  
The Internet Of Things

scholarly journals A Novel Task Allocation Algorithm in Mobile Crowdsensing with Spatial Privacy Preservation

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Wenyi Tang ◽  
Qi Jin ◽  
Xu Zheng ◽  
Guangchun Luo ◽  
Guiduo Duan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Task Allocation ◽  
Privacy Preservation ◽  
The Internet ◽  
Fundamental Issue ◽  
Sufficient Data ◽  
Mobile Crowdsensing ◽  
Real World Applications ◽  
Step Algorithm ◽  
The Internet Of Things

The Internet of Things (IoT) has attracted the interests of both academia and industry and enables various real-world applications. The acquirement of large amounts of sensing data is a fundamental issue in IoT. An efficient way is obtaining sufficient data by the mobile crowdsensing. It is a promising paradigm which leverages the sensing capacity of portable mobile devices. The crowdsensing platform is the key entity who allocates tasks to participants in a mobile crowdsensing system. The strategy of task allocating is crucial for the crowdsensing platform, since it affects the data requester’s confidence, the participant’s confidence, and its own benefit. Traditional allocating algorithms regard the privacy preservation, which may lose the confidence of participants. In this paper, we propose a novel three-step algorithm which allocates tasks to participants with privacy consideration. It maximizes the benefit of the crowdsensing platform and meanwhile preserves the privacy of participants. Evaluation results on both benefit and privacy aspects show the effectiveness of our proposed algorithm.

scholarly journals A Genetic Algorithm for Task Allocation Problem in the Internet of Things

2021 ◽  
pp. 1376-1385
Author(s):  
Hussein M. Burhan ◽  
Mustafa N. Abbas ◽  
Bara'a A. Attea
Keyword(s):  
Genetic Algorithm ◽  
Internet Of Things ◽  
Task Allocation ◽  
Memory Storage ◽  
The Internet ◽  
Everyday Objects ◽  
Distribution Of Resources ◽  
Energy Processing ◽  
The Individual ◽  
The Internet Of Things

In the last few years, the Internet of Things (IoT) is gaining remarkable attention in both academic and industrial worlds. The main goal of the IoT is laying on describing everyday objects with different capabilities in an interconnected fashion to the Internet to share resources and to carry out the assigned tasks. Most of the IoT objects are heterogeneous in terms of the amount of energy, processing ability, memory storage, etc. However, one of the most important challenges facing the IoT networks is the energy-efficient task allocation. An efficient task allocation protocol in the IoT network should ensure the fair and efficient distribution of resources for all objects to collaborate dynamically with limited energy. The canonical definition for network lifetime in the IoT is to increase the period of cooperation between objects to carry out all the assigned tasks. The main contribution in this paper is to address the problem of task allocation in the IoT as an optimization problem with a lifetime-aware model. A genetic algorithm is proposed as a task allocation protocol. For the proposed algorithm, a problem-tailored individual representation and a modified uniform crossover are designed. Further, the individual initialization and perturbation operators (crossover and mutation) are designed so as to remedy the infeasibility of any solution located or reached by the proposed genetic algorithm. The results showed reasonable performance for the proposed genetic-based task allocation protocol. Further, the results prove the necessity for designing problem-specific operators instead of adopting the canonical counterparts.

scholarly journals IoT_ProSe: Exploiting 3GPP services for task allocation in the Internet of Things

2017 ◽  
Vol 66 ◽  
pp. 26-39 ◽  
Author(s):  
Virginia Pilloni ◽  
Emad Abd-Elrahman ◽  
Makhlouf Hadji ◽  
Luigi Atzori ◽  
Hossam Afifi
Keyword(s):  
Internet Of Things ◽  
Task Allocation ◽  
The Internet ◽  
The Internet Of Things

The problem of task allocation in the Internet of Things and the consensus-based approach

2014 ◽  
Vol 73 ◽  
pp. 98-111 ◽  
Author(s):  
Giuseppe Colistra ◽  
Virginia Pilloni ◽  
Luigi Atzori
Keyword(s):  
Internet Of Things ◽  
Task Allocation ◽  
The Internet ◽  
The Internet Of Things

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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