Connecting and Managing M2M Devices in the Future Internet

Song, JaeSeung; Künz, Andreas; Schmidt, Mischa; Szczytowski, Piotr

doi:10.1007/s11036-013-0480-9

Cited by 53 publications

(20 citation statements)

References 10 publications

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“…4: (1) It is more likely to find the data item in the cache if 5 Note that cache hit occurs provided that a fresh item exists in the router cache, and only when a request is received. 6 The rate of request arrival r in differs at different routers, and depends on the average rate of request generation at requesters as well as the position of routers with respect to requesters and data source.…”

Section: Data Item Freshnessmentioning

confidence: 99%

“…(1 − Pe(k)), (5) where the product term denotes the probability that all hops i + 1 ≤ k < j do not have a cached item. Using Eqn.…”

Section: A Caching Age (Ca)mentioning

confidence: 99%

“…Even though such devices each generate lowrate traffic of measurement, monitoring, and automation data, the presence of M2M traffic flows may become disruptive to network operations [3] and the Internet as a whole [4] [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Caching Transient Data in Internet Content Routers

Vural

Wang

Navaratnam

et al. 2017

IEEE/ACM Trans. Networking

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Abstract-The Internet-of-Things (IoT) paradigm envisions billions of devices all connected to the Internet, generating low-rate monitoring and measurement data to be delivered to application servers or end-users. Recently, the possibility of applying innetwork data caching techniques to IoT traffic flows has been discussed in research forums. The main challenge as opposed to the typically cached content at routers, e.g. multimedia files, is that IoT data are transient and therefore require different caching policies. In fact, the emerging location-based services can also benefit from new caching techniques that are specifically designed for small transient data. This paper studies in-network caching of transient data at content routers, considering a key temporal data property: data item lifetime. An analytical model that captures the trade-off between multihop communication costs and data item freshness is proposed. Simulation results demonstrate that caching transient data is a promising information-centric networking technique that can reduce the distance between content requesters and the location in the network where the content is fetched from. To the best of our knowledge, this is a pioneering research work aiming to systematically analyse the feasibility and benefit of using Internet routers to cache transient data generated by IoT applications.

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Section: Data Item Freshnessmentioning

confidence: 99%

“…(1 − Pe(k)), (5) where the product term denotes the probability that all hops i + 1 ≤ k < j do not have a cached item. Using Eqn.…”

Section: A Caching Age (Ca)mentioning

confidence: 99%

See 1 more Smart Citation

Caching Transient Data in Internet Content Routers

Vural

Wang

Navaratnam

et al. 2017

IEEE/ACM Trans. Networking

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“…The goal of ETSI TC M2M includes the specifications of service requirements, functional architecture, interfaces and use cases. The oneM2M Global Initiative [15] has been formed in order to develop one globally agreed specifications for common service layer, which can be the basis of horizontal IoT platforms. The IoT-Architecture project [16], which is an European research project addressing the Reference model of IoT, is to develop IoT architectures in an interoperable manner.…”

Section: ) Ecosystem Formed By Industrial Alliancesmentioning

confidence: 99%

Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT

et al. 2015

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With the accelerated development of Internet-of-Things (IoT), wireless sensor networks (WSNs) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with the Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for WSNs design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards, and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross-layer design of lightweight and cloud-based RESTful Web service. INDEX TERMSInternet-of-Things, device management, IEEE 802.15.4, RESTful, error correction coding (ECC), cloud.

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“…The Internet-of-Things (IoT), or more prosaically Machine-to-Machine (M2M), has received significant attention lately from both industry and academia as an emerging paradigm that manages billions of devices, gateways, sensors, and actuators connected to the Internet [1]. There is an overall view of interworking architectures, which enables exposure of various underlying network services for M2M applications running on top of the service layer, such as device triggering, device location, device management, etc [2].…”

Section: Introductionmentioning

confidence: 99%