Application Task Allocation in Cognitive IoT: A Reward-Driven Game Theoretical Approach

Rahman, Talha Faizur; Pilloni, Virginia; Atzori, Luigi

doi:10.1109/twc.2019.2937523

Cited by 12 publications

(4 citation statements)

References 31 publications

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“…Even though devices may coordinate autonomously using peer-to-peer (e.g. device-to-device -D2D -) communication protocols [43], they usually rely on long-range communications towards a central coordinator residing in the cloud. The data, collected from personal user devices, can be either objective (e.g.…”

Section: User Coordinator Nodementioning

confidence: 99%

“…For this reason, the evaluation of trust is of paramount importance. However, when selecting the devices to which allocate the execution of a given task, the evaluation of the device trust level is rarely performed, except from a few works [102] [103]. The reason is due to the fact that most of the time the proposed solutions apply to an intra-platform scenario.…”

Section: B Inclusion Of Trust Evaluationmentioning

confidence: 99%

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Task Allocation Among Connected Devices: Requirements, Approaches, and Challenges

Pilloni

Ning

Atzori

2022

IEEE Internet Things J.

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Task allocation (TA) is essential when deploying application tasks to systems of connected devices with dissimilar and time-varying characteristics. The challenge of an efficient TA is to assign the tasks to the best devices, according to the context and task requirements. The main purpose of this paper is to study the different connotations of the concept of TA efficiency, and the key factors that most impact on it, so that relevant design guidelines can be defined. The paper first analyzes the domains of connected devices where TA has an important role, which brings to this classification: Internet of Things (IoT), Sensor and Actuator Networks (SAN), Multi-Robot Systems (MRS), Mobile Crowdsensing (MCS), and Unmanned Aerial Vehicles (UAV). The paper then demonstrates that the impact of the key factors on the domains actually affects the design choices of the state-ofthe-art TA solutions. It results that resource management has most significantly driven the design of TA algorithms in all domains, especially IoT and SAN. The fulfillment of coverage requirements is important for the definition of TA solutions in MCS and UAV. Quality of Information requirements are mostly included in MCS TA strategies, similar to the design of appropriate incentives. The paper also discusses the issues that need to be addressed by future research activities, i.e.: allowing interoperability of platforms in the implementation of TA functionalities; introducing appropriate trust evaluation algorithms; extending the list of tasks performed by objects; designing TA strategies where network service providers have a role in TA functionalities' provisioning.

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Section: User Coordinator Nodementioning

confidence: 99%

Section: B Inclusion Of Trust Evaluationmentioning

confidence: 99%

Task Allocation Among Connected Devices: Requirements, Approaches, and Challenges

Pilloni

Ning

Atzori

2022

IEEE Internet Things J.

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“…A non-cooperative auction-game approach was designed by Rahman et al [ 41 ]. Nodes with similar capabilities are grouped into clusters, and cluster nodes bid on tasks to maximize their reward, which is based upon the expended energy of a task and gain of the executed task.…”

Section: State Of the Art On The Task Allocation Problem For Iotmentioning

confidence: 99%

Survey on Multi-Objective Task Allocation Algorithms for IoT Networks

Weikert

Steup

Mostaghim

2022

Sensors

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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.

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“…Hence, massive access for a sea of IoT devices to connect, interact and exchange data is becoming a daunting task. The ongoing urbanization makes this task further complicated where a large number of small IoT devices are expected to be deployed in indoor and outdoor settings [5], and for both, shadowing and non-availability of reliable links pose a challenge.…”

Section: Ris-assisted Uav Communications For Massive Multiple Accessmentioning

confidence: 99%

UAVs with Reconfigurable Intelligent Surfaces: Applications, Challenges, and Opportunities

Abdalla,

Rahman,

Marojevic

2020

Preprint

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A reconfigurable intelligent surface (RIS) is a metamaterial that can be integrated into walls and influence the propagation of electromagnetic waves. This, typically passive radio frequency (RF) technology is emerging for indoor and outdoor use with the potential of making wireless communications more reliable in increasingly challenging radio environments. This paper goes one step further and introduces mobile RIS, specifically RIS carried by unmanned aerial vehicles (UAVs) to support cellular communications networks and services of the future. We elaborate on several use cases, challenges, and future research opportunities for designing and optimizing wireless systems at low cost and with low energy footprint.

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Application Task Allocation in Cognitive IoT: A Reward-Driven Game Theoretical Approach

Cited by 12 publications

References 31 publications

Task Allocation Among Connected Devices: Requirements, Approaches, and Challenges

Task Allocation Among Connected Devices: Requirements, Approaches, and Challenges

Survey on Multi-Objective Task Allocation Algorithms for IoT Networks

UAVs with Reconfigurable Intelligent Surfaces: Applications, Challenges, and Opportunities

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