Study on the Effect of Network Dynamics on Opportunistic Routing

Moreira, Waldir; Souza, Manuel de; Mendes, Paulo; Sargento, Susana

doi:10.1007/978-3-642-31638-8_8

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…Hence, combining content knowledge, as did by data-centric approaches, with context information, such as behavior and social proximity, shall bring benefits (faster, better content reachability) to networked pervasive systems [26]. This statement is supported by prior analysis that shows that an increase of the performance of opportunistic forwarding can be achieved by: i) focusing on content rather then on hosts [10,6]; ii) and being aware of social communities [13] or users' habits [27,25,29,28].…”

Section: Related Workmentioning

confidence: 84%

Combining data naming and context awareness for pervasive networks

Mendes

2015

Journal of Network and Computer Applications

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In recent years large attention is being devoted to a new networking trend focused on data centricity. The major motivation has been the development of a framework able to mitigate the mismatch between the current Internet architecture -host based -and the way most users use the network -agnostic of content location. The first proposals were focus on fix infrastructures in an attempt to devise a data-centric solution for the global Internet. On the other hand, the number of available wireless Internet access points and wireless mobile devices is growing significantly. Hence, it is very important to have in mind scenarios where networked pervasive systems need to communicate independently of the networking conditions. In such pervasive networks, it is important to support the development of communication services aware of users' context: the goal would be to increase data usefulness and delivery probability, as well as to reduce cost and latency. This article presents an information and context oriented networking framework (ICON) able to support the deployment of pervasive networks by combining two networking paradigms that are highly correlated to the efficiency of data sharing: data-centric networking and opportunistic networking.

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Section: Related Workmentioning

confidence: 84%

Combining data naming and context awareness for pervasive networks

Mendes

2015

Journal of Network and Computer Applications

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“…A deterministic variable, m(i) t , provides an indication is the node is moving based on the motion on a three accelerometer axis. The social strength of node i towards node j in a specific hourly sample h , for day d, s(i, j) d,h [9] is derived from contact duration between nodes i and j during a specific time window h in a passive way. The relative distance between devices i and j, d(i, j) t , corresponds to an exponential moving average of the euclidean distance between the two nodes, following a propagation loss model.…”

Section: A Terminology and Notationmentioning

confidence: 99%

NSense: A people-centric, non-intrusive opportunistic sensing tool for contextualizing nearness

Sofia

Firdose

Lopes

et al. 2016

2016 IEEE 18th International Conference on E-Health Networking, Applications and Services (Healthcom)

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In the context of social well-being and context awareness several eHealth applications have been focused on tracking activities, such as sleep or specific fitness habits, with the purpose of promoting physical well-being with increasing success. Sensing technology can, however, be applied to improve social well-being, in addition to physical well-being. This paper addresses NSense, a tool that has been developed to capture and to infer social interaction patterns aiming to assist in the promotion of social well-being. Experiments carried out under realistic settings validate the NSense performance in terms of its capability to infer social interaction context based on our proposed computational utility functions. Traces obtained during the experiments are available via the CRAWDAD international trace repository.

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“…This information is used to compute the level of social proximity of a device towards other devices in specific time periods (e.g. 8am to 9am) [6].…”

Section: B Pipelinesmentioning

confidence: 99%

USense: A people-centric opportunistic sensing tool

Amaral¹,

Firdose²,

Sofia³

et al. 2016

2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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People-centric sensing has been emerging due to the integration of the most varied sensors in personal devices. The goal is to infer individual behaviour following a participatory or opportunistic, non-intrusive, sensing methods. USense is a nonintrusive sensing tool able of contextualising the user's social behaviour based on information, such as social proximity and relative distance, captured via the usage of short-range wireless technology (Wi-Fi Direct, Bluetooth). This paper describes the USense tool in a realistic scenario, which is the basis of the proposed demonstration.

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Study on the Effect of Network Dynamics on Opportunistic Routing

Cited by 12 publications

References 11 publications

Combining data naming and context awareness for pervasive networks

Combining data naming and context awareness for pervasive networks

NSense: A people-centric, non-intrusive opportunistic sensing tool for contextualizing nearness

USense: A people-centric opportunistic sensing tool

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