Market mechanisms for Value of Information driven resource allocation in Sensor Networks

Szymanski, Boleslaw K.; Shah, Syed Yousaf; Geyik, Sahin Cem; Das, Sanmay; Chhabra, Meenal; Zerfos, Petros

doi:10.1109/percomw.2011.5766871

Cited by 3 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Szymanski et al [41] presented a scenario in a parking garage, where a sensor network is deployed with both microphones and cameras. Compared to the microphones, the cameras provide more accurate information about the events, but with a high energy cost and the need for more maintenance.…”

Section: Voi In Multimedia Wsnsmentioning

confidence: 99%

Value of Information in Wireless Sensor Network Applications and the IoT: A Review

Alawad

Kraemer

2022

IEEE Sensors J.

View full text Add to dashboard Cite

Value of Information (VoI) is a concept to assess the usefulness of information for a specific goal, and has in the last decade experienced a growing interest also for Wireless Sensor Network (WSN) applications and the Internet of Things (IoT). By making the value of information explicit in the form of VoI, WSN and IoT applications should be able to better assess which information to spend their constrained resources on. However, the definition of VoI is highly application-dependent, which has led to a fragmented understanding of VoI, and there is a lack of a comprehensive overview. In this structured review, we first categorize application use cases and examine what VoI is used for, and explore the different approaches to defining VoI. We then provide a well-structured and comprehensive discussion of the specific approaches used in the literature to determine VoI, together with examples of use cases. We categorize the different approaches to calculating VoI, describe their properties systematically and distinguish between observed VoI and expected VoI. We also discuss adaptive VoI approaches and point towards future directions within the field.

show abstract

Section: Voi In Multimedia Wsnsmentioning

confidence: 99%

Value of Information in Wireless Sensor Network Applications and the IoT: A Review

Alawad

Kraemer

2022

IEEE Sensors J.

View full text Add to dashboard Cite

show abstract

“…The system consists of two services: a microphone service of reading from an acoustic sensor to monitor the sound volume and a camera service that provides views of the area covered by the microphone monitors. The VoI from a device depends on the information volume obtained from that device and the resources consumed by the device [253]. As shown in Fig.…”

Section: B Pricing Models In Pervasive Monitoring Applicationsmentioning

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

303

124

View full text Add to dashboard Cite

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.

show abstract

Market mechanisms for resource allocation in pervasive sensor applications

Geyik¹,

Shah²,

Szymanski³

et al. 2012

Pervasive and Mobile Computing

View full text Add to dashboard Cite

Market mechanisms for Value of Information driven resource allocation in Sensor Networks

Cited by 3 publications

References 10 publications

Value of Information in Wireless Sensor Network Applications and the IoT: A Review

Value of Information in Wireless Sensor Network Applications and the IoT: A Review

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

Market mechanisms for resource allocation in pervasive sensor applications

Contact Info

Product

Resources

About