WOS3 – Overlay and IoT networks

Wednesday, 20 June 2018, 16:00-17:30, E4 hall
Session chairGordana Gardašević  (University of Banja Luka & Faculty of Electrical Engineering, Bosnia and Herzegovina)

16:00 – Experimental Characterization of Joint Scheduling and Routing Algorithm over 6TiSCH

Gordana Gardasevic (University of Banja Luka & Faculty of Electrical Engineering, Bosnia and Herzegovina); Dragan Vasiljević (University of Banja Luka, Bosnia and Herzegovina); Chiara Buratti and Roberto Verdone (University of Bologna, Italy)
Recently, the Time-Slotted Channel Hopping (TSCH) mode was introduced as an amendment to the Medium Access Control (MAC) part of the IEEE 802.15.4 standard. TSCH is the emerging standard for industrial automation and process control for Low-power and Lossy Networks (LLNs) that uses time synchronization to achieve low-power operation and channel hopping to enable high reliability. Particularly, the 6TiSCH (IPv6 over the TSCH mode of IEEE 802.15.4e) mechanisms are crucial for the further adoption of IPv6 in industrial standards. However, the 6TiSCH standard does not define or propose a particular scheduling and routing algorithms, whose definition is left to the designers. Therefore, in order to evaluate 6TiSCH performances, we have adopted one particular centralized scheduling policy based on graph coloring technique, named Joint Scheduling and Routing Algorithm (JSRA) and applied within the OpenWSN 6TiSCH protocol stack. For experimentations, we have used the OpenMote hardware and OpenWSN software platform for IoT applications. This paper presents the integration of JSRA with OpenWSN 6TiSCH protocol stack, where the performances in terms of packet delivery rate and throughput are evaluated for 6TiSCH protocol, Benchmark and JSRA algorithm.



16:18 – Overlay Inband D2D-e Network Using Fuzzy C-Means Clustering for Disaster Situations

Romain Chevillon (Université de Nantes, France); Guillaume Andrieux (University of Nantes & IETR Laboratory, France); Jean Francois Diouris (University of Nantes, France)
Device-to-device (D2D) communications are considered as a promising new wireless communications technology. Among all its possible applications, the use of D2D networks is of a big interest in the case of disaster situations. In this paper, we propose two emergency network deployments, with the help of a sky balloon equipped with an aerial e-NodeB supplanting a destroyed base station. The contribution of this work is threefold: we first propose a cellular communication scheme for emergency cases, secondly we introduce a novel method of D2D clustering based on Fuzzy C-Means algorithm for disaster situation, then we analyze and compare the energy and spectral efficiency for both schemes, and give possible perspectives to our work. Throughout our work, we show that the best spectrum partition for energy efficiency is not necessarily the same for spectral efficiency. This work aims to find a trade-off between both metrics, in order to have an optimal clustered network.



16:36 – 5G and the Internet of EveryOne: Motivation, Enablers, and Research Agenda

Leonardo Maccari (University of Trento, Italy); Merkourios Karaliopoulos and Iordanis Koutsopoulos (Athens University of Economics and Business, Greece); Leandro Navarro (Universitat Politècnica de Catalunya, Spain); Felix Freitag (Technical University of Catalonia, Spain); Renato Lo Cigno (University of Trento, Italy)
As mobile broadband subscriptions grow twice as fast as the fixed ones and the Internet of Things comes forth, the 5G vision of the Internet of Everything (people, devices, and things), becomes a substantial and credible part of the near future. In this paper, we argue that the 5G vision is still missing a fundamental concept to realize its societal promise: the Internet of EveryOne (IoEO), i.e., means and principles to overcome the concerns that the current 5G perspective raises for the digital divide and the network neutrality principle. We discuss open-source software and hardware, Community Networks, mobile edge computing and blockchains as enablers of the IoEO and highlight open research challenges with respect to them. The ultimate objective of our paper is to stimulate research with a short-term, lasting impact also on that 50% (or more!) of population that will not enjoy 5G anytime soon.



16:54 – Machine Learning for Terahertz Communication with Human-Implantable Devices

Kieran Sullivan and Martin Tolan (Waterford Institute of Technology, Ireland)
Network communication is now critical for several different sectors, including transport, manufacturing, agriculture, and healthcare. The fifth generation (5G) of networks can support and further enhance this vertical sector work, but new paradigms and technologies are required to meet increasing expectations. Terahertz communication offers potential in this regard, especially given its high transmission rates. A number of issues must be considered, however, including signal attenuation due to the absorption characteristic of the transference medium. In this paper, we examine a healthcare scenario where communication between transmitter and receiver is carried out at terahertz frequencies. Our results show that when combined with a machine learning mechanism, terahertz communications protocols can be established to reduce signal path losses in the system.



17:12 – Enhance Information Derivation by In-Network Semantic Mashup for IoT Applications

Lijun Dong (Huawei, USA); Richard Li (Huawei USA, USA)
In Internet of Things (IoT) applications, the users usually are not interested in the raw data that are produced by the physical devices. Through semantic mashup, the new information can be derived, which can be meaningful to the users. In this paper, we identify that the in-network capabilities of Internet routers can overcome the inefficiency in the data request and semantic mashup that is initiated either by the user directly or through an IoT middleware (e.g. oneM2M platform). We propose the high level architecture of the in-network semantic mashup function of an Internet router. The algorithm of processing semantic mashup integrated data request message is proposed as well as the data processing procedure. The simulation results show the significant performance improvements in the transported data overhead and the user experienced latency.