Quality-of-information-aware data collection for mobile sensor networks

Ngai, Edith C.-H.; Gunningberg, Per

doi:10.1016/j.pmcj.2013.07.012

Cited by 14 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even though such an approach is promising, it remains very sensible to the choice of the system parameters for the probabilistic processing. [11] describes a quality-aware publish/subscribe system for mobile sensor networks.…”

Section: Related Workmentioning

confidence: 99%

QoC-aware context data distribution in the internet of things

Marie

Lim

Manzoor

et al. 2014

Proceedings of the 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

QoC-aware context data distribution in the internet of things

Marie

Lim

Manzoor

et al. 2014

Proceedings of the 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT

View full text Add to dashboard Cite

show abstract

“…In the context of sensor networks, a refinement of the familiar concept of Quality of Service (QoS) has been proposed, referred to as "Quality of Information" (QoI), which takes into account on the quality but also on the timeliness of the information [3,4,5]. In this paper, we make use of this new concept and keep track of the value of information that is currently stored in the sensor node.…”

Section: Introductionmentioning

confidence: 99%

A two-queue model for optimising the value of information in energy-harvesting sensor networks

Patil

Turck

Fiems

2018

Performance Evaluation

View full text Add to dashboard Cite

We consider a discrete-time queueing model with two coupled queues for studying the optimal transmission policy of an energy-harvesting sensor node. In particular, the sensor node under study operates energy neutral and harvests energy according to a Bernoulli process. Discretising energy into "energy chunks", the battery is modelled as a first queue, whereas a second queue is introduced to hold the information at the sensor node. We consider a hybrid wireless sensor network in which a mobile sink is used to collect data. From the vantage point of the sensor node, this means that the sensor can only send when the sink is sufficiently close. When this is the case, the sensor decides whether to transmit its data or not depending on the amount of available energy and the value of the information (VoI). Focusing on the optimal transmission policy, we formulate the optimal control problem as a Markov Decision Process with a level-dependent block-triangular transition probability matrix. We find the optimal policy which maximises the mean VoI transmitted from the node in the long run. Finally, we investigate the structure of the optimal policy and the mean VoI collected from the node for different system parameters by means of some numerical experiments.

show abstract

“…Given that the goal or contracting partner between different phases of the project can vary, the necessity of effective consensus building before transitioning to the next stage is apparent in order to successfully carry out a project. Stojmenovic, 2012;Michael & Clarke, 2013;Ngai & Gunningberg, 2014). Due to cloud computing's expandability, accessibility and potential for costcutting, it is extremely popular also in geographical research (Guan et al, 2013;Huang et al, 2013;Marques et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Construction of Urban Design Support System using Cloud Computing Type Virtual Reality and Case Study

Lei¹,

Shimizu²,

Natuska³

et al. 2017

IRSPSD International

View full text Add to dashboard Cite

Abstract:This paper contributes a design support system based on cloud-computing type virtual reality (cloud-based VR) for urban planning and urban design. A platform for Cloud-based VR technology, i.e. a VR-Cloud server, is used to open a VR dataset to public collaboration over the Internet. The digital attributes representing the design scheme of design concepts includes the land use zone, building regulations, urban design style, and other design details of architectural design, landscape, and traffic/architectural environment/sunshine/wheather/noise/inundation/tsunami/earthquake/evacuati on simulation. Then practice using this cloud-based VR urban design support system is categorized into three applicable case 'types', synchronized, distributed synchronized and distributed non-synchronized. The effect of the use of this system in urban design and in urban planning processes is evaluated.

show abstract

Quality-of-information-aware data collection for mobile sensor networks

Cited by 14 publications

References 35 publications

QoC-aware context data distribution in the internet of things

QoC-aware context data distribution in the internet of things

A two-queue model for optimising the value of information in energy-harvesting sensor networks

Construction of Urban Design Support System using Cloud Computing Type Virtual Reality and Case Study

Contact Info

Product

Resources

About