Distributed Task Allocation for Visual Sensor Networks: A Market-Based Approach

Pletzer, Felix; Rinner, Bernhard

doi:10.1109/sasow.2010.41

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Therefore, it can be used for managing resource demands through adjusting the resource price per unit at different time. In [202], the authors employed this scheme for allocating resources to execute tasks in visual sensor networks. The resource allocation problem is modeled as a multi-agent system in which the resource providers, i.e., sellers, sell resources and communication links to the tasks, i.e., buyers.…”

Section: B Task Allocationmentioning

confidence: 99%

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Luong

Hoang

Wang

et al. 2016

IEEE Commun. Surv. Tutorials

281

120

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Abstract-This paper provides a state-of-the-art literature review on economic analysis and pricing models for data collection and wireless communication in Internet of Things (IoT). Wireless Sensor Networks (WSNs) are the main component of IoT which collect data from the environment and transmit the data to the sink nodes. For long service time and low maintenance cost, WSNs require adaptive and robust designs to address many issues, e.g., data collection, topology formation, packet forwarding, resource and power optimization, coverage optimization, efficient task allocation, and security. For these issues, sensors have to make optimal decisions from current capabilities and available strategies to achieve desirable goals. This paper reviews numerous applications of the economic and pricing models, known as intelligent rational decision-making methods, to develop adaptive algorithms and protocols for WSNs. Besides, we survey a variety of pricing strategies in providing incentives for phone users in crowdsensing applications to contribute their sensing data. Furthermore, we consider the use of some pricing models in Machine-to-Machine (M2M) communication. Finally, we highlight some important open research issues as well as future research directions of applying economic and pricing models to IoT.

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Section: B Task Allocationmentioning

confidence: 99%

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Luong

Hoang

Wang

et al. 2016

IEEE Commun. Surv. Tutorials

281

120

View full text Add to dashboard Cite

show abstract

“…For example, Pletzer and Rinner [2010] presented a decentralized, dynamic task allocation method that is based on market based approach for visual sensor network. [Khan et al 2012] presented a market based approach for object tracking in wireless sensor network.…”

Section: Market-based Approachmentioning

confidence: 99%

Multi-Camera Coordination and Control in Surveillance Systems

Natarajan

Atrey

Kankanhalli

2015

ACM Trans. Multimedia Comput. Commun. Appl.

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The use of multiple heterogeneous cameras is becoming more common in today's surveillance systems. In order to perform surveillance tasks, effective coordination and control in multi-camera systems is very important, and is catching significant research attention these days. This survey aims to provide researchers with a state-of-the-art overview of various techniques for multi-camera coordination and control (MC 3 ) that have been adopted in surveillance systems. The existing literature on MC 3 is presented through several classifications based on the applicable architectures, frameworks and the associated surveillance tasks. Finally, a discussion on the open problems in surveillance area that can be solved effectively using MC 3 and the future directions in MC 3 research is presented.

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“…Applying this paradigm to the scenario of interest leads again to the MSTA problem. Specifically, the literature proposes several variations of auction and market-based mechanisms, as well as awarding tasks according to suited cost functions, e.g., to guarantee a proper degree of QoS (Pletzer and Rinner, 2010), and by explicitly considering the energy consumption (Edalata et al, 2012). Accordingly, our middleware will model multiple instances of the MSTA problem.…”

Section: Wsn and Task Allocationmentioning

confidence: 99%

A Task Allocation Middleware for Wireless Sensor Networks in a Multi-Agent Environment

Caviglione¹,

Coccoli²,

Grosso³

2014

Proceedings of the 3rd International Conference on Sensor Networks

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This paper presents the design of a task allocation middleware for the coordination of a Wireless Sensor Network (WSN) of embedded devices. Acquisition and distribution of new tasks are performed via a multiagent system, while service oriented principles are used to handle data gathered from the field. Also, an ad-hoc component has been designed to reduce the impact of heterogeneous networks (e.g., long-haul satellite links). Lastly, we showcase an experimental setup to prove the effectiveness of the approach when used to enhance a forest fire prevention application.

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Distributed Task Allocation for Visual Sensor Networks: A Market-Based Approach

Cited by 6 publications

References 6 publications

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey

Multi-Camera Coordination and Control in Surveillance Systems

A Task Allocation Middleware for Wireless Sensor Networks in a Multi-Agent Environment

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