Experimental Performance Analysis of Routing Metrics in Wireless Mesh Networks

International audienceThis paper provides a description of a wireless mesh network testbed setup and a measurement-based performance evaluation of the Optimized Link State Routing (OLSR) protocol [7] under three different routing metrics. The considered metrics include hop-count, ETX and ETT. The network performances are evaluated in an indoor testbed formed by heterogeneous MIMO devices. A part of our tests was about the impact of 802.11n features on the network performances showing the importance of lower layers consideration. Our measurements point out the shortcoming of each metric and eventual optimizations towards a more efficient routing. Experimental results show that OLSRETT outperforms OLSR-ETX and OLSR-hopcount significantly in terms of packet loss, end-to-end delay, and efficiency

Performance Evaluation of Energy Efficient Policies for Ethernet Switches

International audienceEnergy efficiency has emerged as a defining scientific and engineering challenge of our time. Ethernet, as the dominant wireline technology, has been a focus of intense research and development efforts with the goal of significantly decreasing its energy consumption. In 2010 the IEEE Std 802.3az, which uses a Low Power Idle (LPI) mode to reduce the energy consumption of a link when there is no data traffic, was approved. Recently, the major manufacturers have brought to market the first switches the implement the new energy efficient standard. In this paper, we make use of the first generation of hardware that support the IEEE 802.3az to get a better understanding of the behavior of energy efficient mechanisms for ethernet. Based on measurement on DLINK switches that are IEEE 802.3az compliant, we build a power model that reflects more accurately the power used by real hardware in practice. We use the measurement-driven power model to analyze the behavior of Lazy Start, the state of the art algorithm for energy efficient ethernet, in the ns-3 simulator. Based on our analysis, we provide recommendations for improvements and potential directions for future work

Prediction Approach of Critical Node Based on Multiple Attribute Decision Making for Opportunistic Sensor Networks

Predicting critical nodes of Opportunistic Sensor Network (OSN) can help us not only to improve network performance but also to decrease the cost in network maintenance. However, existing ways of predicting critical nodes in static network are not suitable for OSN. In this paper, the conceptions of critical nodes, region contribution, and cut-vertex in multiregion OSN are defined. We propose an approach to predict critical node for OSN, which is based on multiple attribute decision making (MADM). It takes RC to present the dependence of regions on Ferry nodes. TOPSIS algorithm is employed to find out Ferry node with maximum comprehensive contribution, which is a critical node. The experimental results show that, in different scenarios, this approach can predict the critical nodes of OSN better

Security layers and related services within the Horizon Europe NEUROPULS project

In the contemporary security landscape, the incorporation of photonics has emerged as a transformative force, unlocking a spectrum of possibilities to enhance the resilience and effectiveness of security primitives. This integration represents more than a mere technological augmentation; it signifies a paradigm shift towards innovative approaches capable of delivering security primitives with key properties for low-power systems. This not only augments the robustness of security frameworks, but also paves the way for novel strategies that adapt to the evolving challenges of the digital age. This paper discusses the security layers and related services that will be developed, modeled, and evaluated within the Horizon Europe NEUROPULS project. These layers will exploit novel implementations for security primitives based on physical unclonable functions (PUFs) using integrated photonics technology. Their objective is to provide a series of services to support the secure operation of a neuromorphic photonic accelerator for edge computing applications.Comment: 6 pages, 4 figure

Some ICT Systems for Increasing Occupational Safety with a Reference to the Seaport Environment

The paper presents some commercial ICT (Information and Communication Technology) solutions for increasing workers’ safety in invasive environments (e.g., steel industry, mining, construction, oil and gas rigs, seaports, etc.). It has been pointed to the need to increase safety measures, primarily because of the necessity to protect human lives and health, as well as to increase productivity and reduce the costs, which companies and insurance agencies have to cover in the case of accidents. The article also briefly describes some alternative solutions that have been examined at the level of simulations, in accordance to the actual needs and available resources at the Port of Bar (South Adriatic Sea). This seaport has been operating during the decades in the transitional conditions and it has been permanently faced with the impediments in providing sophisticated and expensive ICT solutions for occupational safety purposes

Augmented reality for emergency situations in buildings with the support of indoor localization

Augmented reality is showing a continuous evolution due to the increasing number of smart glasses that are being used for different applications (e.g. training, marketing, industry, risk avoidance, etc.). In this paper, we present an implementation that uses augmented reality (AR) for emergency situations in smart buildings by means of indoor localization through the use of subGHz beacons. This also includes the mapping of emergency elements in the three-dimensional building, together with some example cases

Path Quality Estimator for 802.15.4e TSCH Fast Deployment Tool

[EN] This paper introduces a novel quality estimator that uses different metrics to decide the best path towards the root in Wireless Sensor Networks. The different metrics are assessed at medium access control layer (MAC), under the IEEE 802.15.4 standard, and are used at network layer, enhancing the best path selection process done by the routing protocol, and at the application layer, enabling visual quality indicators in the nodes. This quality function is used during deployment stage; ensuring nodes are located optimally and nimbly. This mechanism will help WSN¿s adoption in Industrial Internet of Things applications.This work is supported by IVACE (Insituto Valenciano de Competitividad Empresarial) through FEDER funding (exp. IMDEEA/2017/103).Vera-Pérez, J.; Todoli Ferrandis, D.; Santonja Climent, S.; Silvestre-Blanes, J.; Sempere Paya, VM. (2018). Path Quality Estimator for 802.15.4e TSCH Fast Deployment Tool. Telfor Journal (Online). 10(1):2-7. https://doi.org/10.5937/telfor1801002VS27101O. Gaddour, A. Koubâa, S. Chaudhry, M. Tezeghdanti, R. Chaari and M. Abid, 'Simulation and Performance Evaluation of DAG Construction with RPL,' in IEEE Third International Conference on Communications and Networking (ComNet), pp. 1-8, 2012.;IETF, 'RFC 6552 - Objective Function Zero for the Routing Protocol for Low-Power and Lossy Networks (RPL),' 2012.;IETF, 'RFC 6719 - The Minimum Rank with Hysteresis Objective Function,' 2012.;N. Pradeska, Widyawan, W. Najib and S. S. Kusumawardani, 'Performance Analysis of Objective Function MRHOF and OF0 in Routing Protocol RPL IPv6 Over Low Power Wireless Personal Area Networks (6LoWPAN),' in 8th International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia, 2016.;P. O. Kamgueu, E. Nataf, T. D. Ndié and O. Festor, 'Energy-based routing metric for RPL,' Doctoral dissertation, INRIA, 2013.;H.-S. Kim, J. Paek and S. Bahk, 'QU-RPL: Queue utilization based RPL for load balancing in large scale industrial applications,' in 12th Annual IEEE International Conference on Sensing, Communication and Networking (SECON), Seattle, WA, USA, 2015.;P. Gonizzi, R. Monica and G. Ferrari, 'Design and evaluation of a delay-efficient RPL routing metric,' in 9th International Wireless Communication and Mobile Computing Conference (IWCMC), Sardinia, Italy, 2013.;IETF, 'RFC 6551 - Routing Metrics Used for Path Calculation in Low-Power and Lossy Networks,' 2012.;N. Baccour, A. Koubâa, L. Mottola, M. A. Zúñiga, H. Youssef, C. A. Boano and M. Alves, 'Radio link quality estimation in wireless sensor networks: A survey,' ACM Transactions on Sensor Networks (TOSN), vol. 8 (4), 2012.;P. Karkazis, H. C. Leligou, L. Sarakis, T. Zahariadis, P. Trakadas, T. H. Velivassaki and C. Capsalis, 'Design of primary and composite routing metrics for RPL-compliant Wireless Sensor Networks,' in International Conference on Telecommunications and Multimedia (TEMU), Chania, Greece, 2012.;N. Baccour, A. Koubâa, H. Youssef, M. B. Jamâa, D. d. Rosário, M. Alves and L. B. Becker, 'F-LQE: A Fuzzy Link Quality Estimator for Wireless Sensor Networks,' in European Conference on Wireless Sensor Networks (EWSN), Coimbra, Portugal, 2010.;S. Rekik, N. Baccour, M. Jmaiel and K. Drira, 'Holistic link quality estimation-based routing metric for RPL networks in smart grids,' in IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Valencia, Spain, 2016.;O. Gaddour, A. Koubaa, N. Baccour and M. Abid, 'OF-FL: QoSaware fuzzy logic objective function for the RPL routing protocol,' in 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Hammamet, Tunisia, 2014.;IETF, 'RFC 8180 - Minimal IPv6 over TSCH Mode of IEEE 802.15.4e (6TiSCH) Configuration,' 2017.;M. G. Amor, A. Koubâa, E. Tovar and M. Khalgui, 'Cyber-OF: An Adaptative Cyber-Physical Objective Function for Smart Cities Applications,' in 28th Euromicro Conference on Real-Time Systems (ECRTS), Toulouse, France, 2016.;J. Vera-Pérez, D. Todolí-Ferrandis, J. Silvestre-Blanes, S. SantonjaCliment and V. Sempere-Paya, 'Path quality estimator for wireless sensor networks fast deployment tool,' 2017 25th Telecommunication Forum (TELFOR), Belgrade, 2017, pp. 1-4.