Beacon location service

Ortiz, Jorge; Baker, Chris R.; Moon, Daekyeong; Fonseca, Rodrigo; Stoica, Ion

doi:10.1145/1236360.1236383

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…Nevertheless, there exist other sensor-based techniques that allow positioning a device in those cases in which GPS is not a valid solution. For instance, anchor/beacon techniques provide global coordinates (even in indoor locations) by placing some predefined reference nodes in the environment (with known GPS coordinates) and then estimating the global coordinates of other nodes by exchanging messages [55, 56]. Interesting surveys on indoor positioning methods can be found in [57, 58].…”

Section: Context Detectionmentioning

confidence: 99%

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

Ilarri

Hermoso

Trillo-Lado

et al. 2015

International Journal of Distributed Sensor Networks

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Recommendation systems are specialized in offering suggestions about specific items of different types (e.g., books, movies, restaurants, and hotels) that could be interesting for the user. They have attracted considerable research attention due to their benefits and also their commercial interest. Particularly, in recent years, the concept of context-aware recommendation system has appeared to emphasize the importance of considering the context of the situations in which the user is involved in order to provide more accurate recommendations. The detection of the context requires the use of sensors of different types, which measure different context variables. Despite the relevant role played by sensors in the development of context-aware recommendation systems, sensors and recommendation approaches are two fields usually studied independently. In this paper, we provide a survey on the use of sensors for recommendation systems. Our contribution can be seen from a double perspective. On the one hand, we overview existing techniques used to detect context factors that could be relevant for recommendation. On the other hand, we illustrate the interest of sensors by considering different recommendation use cases and scenarios.

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Section: Context Detectionmentioning

confidence: 99%

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems

Ilarri

Hermoso

Trillo-Lado

et al. 2015

International Journal of Distributed Sensor Networks

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“…Reference [7] proposed a location-based service discovery scheme for WSN based on the WSN point-to-point routing scheme [8]. Since the routing scheme [8] was not based on IPv6 address, it was not suitable for 6LoWPAN service model.…”

Section: Related Workmentioning

confidence: 99%

A Service Model for 6LoWPAN Wireless Sensor Networks

Wang

Huang

2013

International Journal of Distributed Sensor Networks

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This paper proposes a 6LoWPAN service model based on the IPv6-based-Anycast communication model. This model is extended into 6LoWPAN service model so that the data-centric services of WSN can be achieved efficiently in the address-centric 6LoWPAN. In the proposed service model, an IPv6 node can obtain multiple network services through one request-response interaction where multiple sensor nodes cooperate to complete all requested network services and they provide their respective network services at the same time. As a result, the delay time is shortened. In addition, the proposed service model avoids the service failure caused by dormant sensor nodes. Since users can only request the network services they are interested in, the redundant data transmission is avoided. The performance parameters of the proposed service model are analyzed, and the data results show that the performance of the proposed service model is better.

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