This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, protocols, and applications. Compared to other survey papers in the field, our objective is to provide a more thorough summary of the most relevant protocols and application issues to enable researchers and application developers to get up to speed quickly on how the different protocols fit together to deliver desired functionalities without having to go through RFCs and the standards specifications. We also provide an overview of some of the key IoT challenges presented in the recent literature and provide a summary of related research work. Moreover, we explore the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. We also present the need for better horizontal integration among IoT services. Finally, we present detailed service use-cases to illustrate how the different protocols presented in the paper fit together to deliver desired IoT services.

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Mobile edge computing (MEC) is an emergent architecture where cloud computing services are extended to the edge of networks leveraging mobile base stations. As a promising edge technology, it can be applied to mobile, wireless, and wireline scenarios, using software and hardware platforms, located at the network edge in the vicinity of end-users. MEC provides seamless integration of multiple application service providers and vendors toward mobile subscribers, enterprises, and other vertical segments. It is an important component in the 5G architecture which supports variety of innovative applications and services where ultralow latency is required. This paper is aimed to present a comprehensive survey of relevant research and technological developments in the area of MEC. It provides the definition of MEC, its advantages, architectures, and application areas; where we in particular highlight related research and future directions. Finally, security and privacy issues and related existing solutions are also discussed.

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Mobile Edge Computing: A Survey

Intelligent Manufacturing in the Context of Industry 4.0: A Review

There has been significant interest and progress in the field of vehicular ad hoc networks over the last several years. VANETs comprise vehicle-to-vehicle and vehicle-to-infrastructure communications based on wireless local area network technologies. The distinctive set of candidate applications (e.g., collision warning and local traffic information for drivers), resources (licensed spectrum, rechargeable power source), and the environment (e.g., vehicular traffic flow patterns, privacy concerns) make the VANET a unique area of wireless communication. This article gives an overview of the field, providing motivations, challenges, and a snapshot of proposed solutions.

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A tutorial survey on vehicular ad hoc networks

Mobile ad hoc networks (MANETs) represent complex distributed systems that comprise wireless mobile nodes that can freely and dynamically self-organize into arbitrary and temporary, ‘‘ad-hoc’’ network topologies, allowing people and devices to seamlessly internetwork in areas with no pre-existing communication infrastructure, e.g., disaster recovery environments. Ad hoc networking concept is not a new one, having been around in various forms for over 20 years. Traditionally, tactical networks have been the only communication networking application that followed the ad hoc paradigm. Recently, the introduction of new technologies such as the Bluetooth, IEEE 802.11 and Hyperlan are helping enable eventual commercial MANET deployments outside the military domain. These recent evolutions have been generating a renewed and growing interest in the research and development of MANET. This paper attempts to provide a comprehensive overview of this dynamic field. It first explains the important role that mobile ad hoc networks play in the evolution of future wireless technologies. Then, it reviews the latest research activities in these areas, including a summary of MANETs characteristics, capabilities, applications, and design constraints. The paper concludes by presenting a set of challenges and problems requiring further research in the future. � 2003 Elsevier B.V. All rights reserved.

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Mobile ad hoc networking: imperatives and challenges

We considered a dense interference network with a large number (K → ∞) of transmitter-receiver pairs Each transmitter is endowed with a finite buffer and accepts packets from an arrival process Each transmitter-receiver link is a fading vector channel with N diversity paths whose statistics are described by a Markov chain We investigate distributed algorithms for joint admission control, rate and power allocation aiming at maximizing the individual throughput defined as the average information rate successfully received The decisions are based on the statistical knowledge of the channel and buffer states of the other communication pairs and on the exact knowledge of their own channel and buffer states In the case of a finite number of communication pairs this problem is computationally extremely intensive with an exponential complexity in the number of users Assuming that K,N → ∞ with constant ratio the algorithm complexity becomes substantially independent of the number of active communications and grows with the groups of users having distinct asymptotic channel statistics The cross-layer design is investigated for different kind of decoders at the receiver The benefits of a cross layer approach compared to a resource allocation ignoring the states of the queues are assessed The performance loss due to the use of policies designed for asymptotic conditions and applied to networks with a finite number of active communications is studied

Low complexity cross-layer design for dense interference networks

The full potential of the Internet of Things (IoT) is challenged by heterogeneous IoT data sources, data formats, and fragmented IoT ecosystems. Semantic interoperability is identified as a key to address these challenges. But majority of the current IoT ecosystems lack any tool to verify if two IoT platforms are semantically interoperable. This paper proposes a semantic interoperability testing tool called SemTest. It performs conformance and interoperability tests to ensure whether two IoT systems under test (SUT) are semantically interoperable. The architecture of each testing methodology is presented along with technical discussion on the tool development. A major contribution of the paper is to integrate the SemTest tool into the F-Interop platform which aims at online conformance, interoperability, and performance tests for IoT. Feedbacks from the semantic web technology experts from IETF and W3C communities highlight that the proposed tool is novel, timely, and will have a strong impact across the IoT ecosystems.

Developing and Integrating a Semantic Interoperability Testing Tool in F-Interop Platform

Mobile users are facing the fact that many heterogenous radio access technologies coexist, ranging from wireless LANs to cellular systems. No technology has emerged as common and universal solution which makes the current trends today toward design of All-IP wireless networks, where radio cells are under the control of IP Access Routers for signalling and data transmission. In such as networks, an IP-device with multiple radio interfaces or software radio can roam between different radio networks regardless the heterogeneity of radio access technologies. The design of an All-IP wireless network requires an efficient and flexible IP-based handover management, and a major issue in handover control is how to reduce data loss and avoid additional end to end transmission delay. In this paper we propose and evaluate mechanisms to handle soft-handover management in IP layer over heterogenous networks. Those mechanisms coexist with Mobile IPv6 and allow efficient micro mobility management.

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Performance analysis on IP- based soft handover across ALL-IP wireless networks

The Internet of Things (IoT) ecosystem can immensely benefit from the Named Data Networking (NDN) paradigm. But interworking between the two paradigms is often challenged due to their intrinsic features. This paper attempts to identify the challenges, proposes their solutions to highlight the interworking of NDN with previously developed DataTweet IoT architecture elements. Our main contribution is in proposing a naming convention to create the interest packets in NDN from consumer systems. A prototype of the overall system is developed which is deployed in a real test bed. The performance evaluation strongly supports the proposed interworking.

Interworking of NDN with IoT architecture elements: Challenges and solutions

This paper presents the implementation and evaluation of a distributed topology management algorithm for public safety networks (PSNs) to implement the CHORIST architecture1. Topology management for this kind of network is a mission critical problem, for a mission critical network. PSNs are the networks installed by the authorities to coordinate relief/rescue efforts in case of disasters. The main concerns for PSNs are rapid deployment and survivability. The whole operation and teams coordination schema depends on how well deployed the network was and how stable and reliable the network is during its lifetime. The more stable the network structure is in a rescue operation field the better. The proposed algorithm is able to dynamically adapt to the nodes mobility thus maintaining the desired topology

https://www.researchgate.net/profile/Daniel_Camara/publication/224131951_Dynamic_topology_implementation_and_maintenance_for_the_CHORIST_network/links/00b49528bb2aa18237000000.pdf

Christian Bonnet

Papers

Low complexity cross-layer design for dense interference networks

Developing and Integrating a Semantic Interoperability Testing Tool in F-Interop Platform

Performance analysis on IP- based soft handover across ALL-IP wireless networks

Interworking of NDN with IoT architecture elements: Challenges and solutions

Dynamic topology implementation and maintenance for the CHORIST network