NextMe: Localization Using Cellular Traces in Internet of Things

Zhang, Daqiang; Zhao, Shengjie; Yang, Laurence T.; Chen, Min; Wang, Yunsheng; Liu, Huazhong

doi:10.1109/tii.2015.2389656

Cited by 53 publications

(18 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These may also create many applications for industries. These software component technologies, including object-oriented design and serviceoriented architectures, are built on abstractions that match software better than physical systems [25,26]. These features will improve convenience in the personal and industrial sectors.…”

Section: Architecture Of Service-oriented Cloud-assisted Icpsmentioning

confidence: 99%

Cloud-assisted industrial cyber-physical systems: An insight

Yue

Cai

Yan

et al. 2015

Microprocessors and Microsystems

133

View full text Add to dashboard Cite

Section: Architecture Of Service-oriented Cloud-assisted Icpsmentioning

confidence: 99%

Cloud-assisted industrial cyber-physical systems: An insight

Yue

Cai

Yan

et al. 2015

Microprocessors and Microsystems

133

View full text Add to dashboard Cite

“…The iBeacon is a localization system without a central server; however, it must go through a service server for real service. NextMe [14] is a phone-based localization system for providing location-based services in IoT. It uses mobile call patterns, which are strongly correlated with co-location patterns.…”

Section: Related Workmentioning

confidence: 99%

“…When a FE receives an advertising message without a target FE address (9), the RFProxy uses the mobile-node list to determine who is in charge of the mobile node (11). After that, the SH that manages the mobile node communicates with it (12)(13)(14)(15)(16) for its position; thus, the SH knows that there is a request from the mobile node (4). Then, the FE initiates a connection (6), communicates with the mobile node (7), and forwards the message to the RFProxy (8).…”

Section: Communication Between the Mobile Node And Shmentioning

confidence: 99%

Proximity-Based Asynchronous Messaging Platform for Location-Based Internet of Things Service

Son

Jeong

et al. 2016

IJGI

View full text Add to dashboard Cite

Abstract:The Internet of Things (IoT) opens up tremendous opportunities to provide location-based applications. However, despite the services around a user being physically adjacent, common IoT platforms use a centralized structure, like a cloud-computing architecture, which transfers large amounts of data to a central server. This raises problems, such as traffic concentration, long service latency, and high communication cost. In this paper, we propose a physical distance-based asynchronous messaging platform that specializes in processing personalized data and location-based messages. The proposed system disperses traffic using a location-based message-delivery protocol, and has high stability.

show abstract

“…I nternet of Things (IoTs) [1], [2] enables objects to collect or exchange data using many network technologies, such as sensor networks, wireless communication, data collection [3], [4], [5], etc. Among them, sensor network is indispensable to IoTs.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Tree-Based Self-Organizing Protocol for Internet of Things

et al. 2016

View full text Add to dashboard Cite

There are a lot of researches on self-organizing network at present. However, due to the characteristics of topological change of the Internet of Things, node resource constraints and random distribution and so on. Most of the existing self-organizing network are not applicable. This paper is aimed at the characteristics of the Internet of Things, and draws lessons from small world model, energy multi-path routing and hybrid routing algorithm. On the basis of GEAR protocol, a model of high efficient self-organizing network for large scale aware node is proposed: A multi-path hybrid routing model based on small world model, referred as SMH (Small World Multi-Path Hybrid Routing) model. In this paper, the model is implemented and an improved protocol based on GEAR is obtained, which is SMH-GEAR protocol. And SMH-GEAR protocol and GEAR protocol are compared and analyzed with simulation by using NS-2 network simulation platform. The result of the experiment shows SMH-GEAR protocol is better than GEAR protocol in terms of overall performance.

show abstract

NextMe: Localization Using Cellular Traces in Internet of Things

Cited by 53 publications

References 28 publications

Cloud-assisted industrial cyber-physical systems: An insight

Cloud-assisted industrial cyber-physical systems: An insight

Proximity-Based Asynchronous Messaging Platform for Location-Based Internet of Things Service

An Efficient Tree-Based Self-Organizing Protocol for Internet of Things

Contact Info

Product

Resources

About