Liberalising Deployment of Internet of Things Devices and Services in Large Scale Environments

There is an ongoing enormous expansion of Internet of Things devices andservices in everyday life, notably in novel large scale urban environments called Smart Cities. There, availability and uses of Internet of Things by end users and businesses is mainly palpable subject to prior knowledge of the relevant providers and use of dedicated applications that are associated with them. This current reality can be largely ascribed to the property of ‘‘verticality’’ of autonomous Internet of Things eco-systems in Smart Cities, where Internet of Things devices (e.g. sensor nodes) are connected over a communicationinfrastructure to service-cloud platforms that deliver and process data that isthen presented at the applications level. This paper explains possibilities for revolutionary changes needed towards liberalising deployment and visibility of IoT services and data associated with them. It advocates a conceptual approach termed ‘‘horizontal networking for Internet of Things’’ facilitating a more open and generic presence of Internet of Things through the proposed Internet of Things identification meta-data. The vision is built on needed novel practical features in the current communication setups. The features comprise combinations of the opportunistic and near-match search and discovery model, Internet of Things identification meta-data also reflecting the physical and network-based dimensions of devices’ locations, novel routing and data flow models emerging via Information-Centric Networking and changes required in the elements of the current telecommunicationinfrastructure and the Internet

6lo Internet-Draft Intended status: Standards Track

IPv6 mapping to non-IP protocols draft-rizzo-6lo-6legacy-01 IPv6 is an important enabler of the Internet of Things, since it provides an addressing space large enough to encompass a vast and ubiquitous set of sensors and devices, allowing them to interconnect and interact seamlessly. To date, an important fraction of those devices is based on networking technologies other than IP. An important problem to solve in order to include them into an IPv6-based Internet of Things, is to define a mechanism for assigning an IPv6 address to each of them, in a way which avoids conflicts and protocol aliasing. The only existing proposal for such a mapping leaves many problems unsolved and it is nowadays inadequate to cope with the new scenarios which the Internet of Things presents. This document defines a mechanism, 6TONon-IP, for assigning automatically an IPv6 address to devices which do not support IPv6 or IPv4, in a way which minimizes the chances of address conflicts, and of frequent configuration changes due to instability of connection among devices. Such a mapping mechanism enables stateless autoconfiguration for legacy technology devices, allowing them to interconnect through the Internet and to fully integrate into a world wide scale, IPv6-based IoT

Adaptive k-cast Scheduling for High-Reliability and Low-Latency in IEEE802.15.4-TSCH

International audienceThe Industrial Internet of Things tends now to emerge as a key paradigm to interconnect a collection of wireless devices. However , most industrial applications have strict requirements, especially concerning the reliability and the latency. IEEE802.15.4-TSCH represents currently a promising standard relying on a strict schedule of the transmissions to provide such guarantees. The standard ISA-100.11a-2011 has proposed the concept of duocast, where a pair of receivers are allocated to the same transmission opportunity to increase the reliability. In this paper, we generalize this approach to involve k different receivers, and we explore the impact of this technique on the performance of the network. We propose an algorithm assigning several receivers for each transmission to increase the probability that at least one device receives correctly the packet. By exploiting a multipath topology created by the routing layer, we are able to reduce the number of transmissions while still achieving the same reliability. We consequently increase the network capacity, and reduce significantly the jitter. Our simulation results highlight the relevance of this k-cast technique in TSCH for the Industrial Internet of Things

RTT-Based Congestion Control for the Internet of Things

Part 1: IoT and Sensor NetworksInternational audienceThe design of scalable and reliable transport protocols for IoT environments is still an unsolved issue. A simple stop-and-wait congestion control method and a lightweight reliability mechanism are only implemented in CoAP, an application protocol that provides standardised RESTful services for IoT devices. Inspired by delay-based congestion control algorithms that have been proposed for the TCP, in this work we propose a rate control technique that leverages measurements of round-trip times (RTTs) to infer network state and to determine the flow rate that would prevent network congestion. Our key idea is that the growth of RTT variance, coupled with thresholds on CoAP message losses, is an effective way to detect the onset of network congestion. To validate our approach, we conduct a comparative performance analysis with the two loss-based congestion control methods of standard CoAP under different application scenarios. Results show that our solution outperforms the alternative methods, with a significant improvement of fairness and robustness against unacknowledged traffic