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Scalable Channels Allocation in Smart Environments Considering Cross-Interference 17

Scalable Channels Allocation in Smart Environments Consideri...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Rocha, Alexandre Mosca, Eduardo E. da Silva, Gabriel G. Gomes, Rafael L. State Univ Ceara UECE Fortaleza Ceara Brazil

ISBN: (纸本)9781665439299

Recently, the Internet of Things (IoT) arose as paradigm to evolve the daily tasks and to deploy new intelligent services in the environments, turning them into Smart Environments (SEs). A SE is composed of heterogeneous wireless devices, where part of them are mobile. These heterogeneous devices suffer a problem of cross-interference, since most of them use the 2.4 GHz Industrial, Scientific and Medical bands ISM for communication. The cross-interference problem affects directly the Quality of Service (QoS), mainly the low transmission power devices that provide the basis of the services running on the top of the network. Within this context, this paper presents the Scalable Cross-Interference Mitigation (SCIM), an algorithm to mitigate the cross-interference problem in smart environments. The SCIM algorithm considers the mobility of the devices and their communication capacity to perform a scalable wireless channels assignment. The results, from the experiments performed, suggest that the SCIM algorithm minimizes the total interference of the SE, while increases the packet delivery, when compared to existing approaches.

关键词： Performance evaluation Wireless communication Wireless sensor networks Interference Quality of service Channel allocation Turning

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Accelerating 6TiSCH Network Formation 17

Accelerating 6TiSCH Network Formation

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Tanaka, Yasuyuki Minet, Pascale Watteyne, Thomas Teraoka, Fumio Toshiba Co Ltd Corp R&D Ctr Kawasaki Kanagawa Japan INRIA EVA Team Paris France Keio Univ Fac Sci & Technol Yokohama Kanagawa Japan

ISBN: (纸本)9781665439299

Wireless sensor networking is a key enabler of Industrial IoT. IETF (Internet Engineering Task Force) has standardized a protocol suite called 6TiSCH (IPv6 over the TSCH mode of ieee802.15.4e). 6TiSCH builds an IPv6 multi-hop wireless network with the ieee802.15.4 radio, which achieves low energy consumption and high reliability. Although network formation time is one of key performance indicators of wireless sensor networks, it has not been studied well with 6TiSCH standard protocols such as MSF (6TiSCH Minimal Scheduling Function) and CoJP (Constrained Join Protocol). In this paper, we propose a scheduling function called SF-Fastboot which shortens network formation time of 6TiSCH. We evaluate SF-Fastboot by simulation comparing with MSF, the state-of-the-art scheduling function. The simulation shows SF-Fastboot reduces network formation time by 41 % - 80 %.

关键词： 6TiSCH TSCH ieee802.15.4 Network formation Scheduling Lifetime

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Towards Context Aware Adaptive Deployment in ML Applications Using State Machines 17

Towards Context Aware Adaptive Deployment in ML Applications...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Dolui, Koustabh Michiels, Sam Lowet, Dietwig Hughes, Danny Hallez, Hans Katholieke Univ Leuven Imec Distrinet Comp Sci Leuven Belgium Philips Res Eindhoven Netherlands

ISBN: (纸本)9781665439299

This paper starts from the observation that mobile and edge devices are powerful enough to execute Machine Learning (ML) application components, which in turn creates opportunities to keep privacy-sensitive data close to its source. Composing and deploying a distributed ML application is far from trivial because the optimal configuration depends on the application's goals and execution context, both of which may change throughout its lifetime. Prior research on context-aware reconfigurations in ML based applications offer limited capabilities for dynamically migrating software components between mobile, edge and cloud devices. In this paper, we propose a context-aware middleware that enables automated optimizations of the application deployment in order to satisfy the application's functional goals while the execution context changes in terms of available computation, memory and network resources. We use finite state machines to model the reconfiguration of the application based on contextual triggers and facilitate system design through the abstraction of system states. We illustrate the benefits of our approach with an image recognition application with well-defined performance goals that is deployed in a three-tier mobile-edge-cloud architecture.

关键词： Context-aware services Image recognition Machine learning Computer architecture sensor systems Middleware distributed computing

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Energy Efficient Mechanism for Reusing Mobile Nodes in WSN and IoT Networks 17

Energy Efficient Mechanism for Reusing Mobile Nodes in WSN a...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Temene, Natalie Sergiou, Charalampos Ioannou, Christiana Georgiou, Chryssis Vassiliou, Vasos Univ Cyprus Nicosia Cyprus CYENS Ctr Excellence Nicosia Cyprus

ISBN: (纸本)9781665439299

The operation of Internet of Things (IoT) networks and Wireless sensor Networks (WSN) is often disrupted by a number of problems, such as path disconnections, network segmentations, node faults, security attacks, etc. A method that gains momentum in resolving some of those issues is the use of mobile nodes or nodes deployed by mobile robots. The use of mobile elements essentially increases the resources and the capacity of the network. In this work, we propose a scheme that utilizes mobile nodes for the creation of alternative paths from source to sink by also accounting the energy levels of the nodes as a contributing factor regarding the creation of alternative paths. We offer both a high level description of the concept and also a detailed algorithmic solution. The evaluation of the solution was performed in a case study of resolving congestion in the network. Results have shown that the proposed algorithm can significantly contribute to the alleviation of the problem of congestion in IoT and WSNs and can easily be used for other types of network problems.

关键词： Internet of Things Wireless sensor Networks Mobility Reuse Energy Efficient Mobile Nodes

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Travel Path Planning for UAV as a Data Collector for a Sparse WSN 17

Travel Path Planning for UAV as a Data Collector for a Spars...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Karegar, Pejman A. Al-Anbuky, Adnan Auckland Univ Technol Elect & Elect Engn Auckland New Zealand

ISBN: (纸本)9781665439299

Recent advances in Unmanned Aerial Vehicle (UAV) technologies make their use as data collection sinks feasible for practical applications of Wireless sensor Networks (WSN). Using UAVs as mobile data collection agents can improve network performance by reducing the horizontal radio pollution in animal sanctuaries or conservations, for example. This may also positively improve energy consumption of both UAV and sensor nodes (SN) on the ground. Designing an efficient UAV trajectory which has the capability of data gathering from randomly distributed large number of SNs has been one of the challenges for the UAV-aided WSN data gathering solutions. This paper aims at conceptualizing a solution for UAV path planning in gathering data of distributed wireless sensors over a large space. Both efficient flight path and dynamic orchestration of sensor grouping are considered as two key factors for improving the flight performance in data collection. Herein, a classical Travel Salesman Problem (TSP) solution supported by the ground group offerings are used for manipulating a simplified centroid-based trajectory and turning it into a more relaxed fuzzy route. This in turn would offer a ground for smoother and more efficient flight paths. While preliminary modelling of the approach offers encouraging results, the demand for fluidity in dynamically re-orchestrating the ground sensor networks must be carefully considered. Successful implementation of this concept would support a wide range of applications such as the farming and conservation used cases.

关键词： Unmanned Aerial Vehicle (UAV) Wireless sensor Networks (WSN) Fuzzy route

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ReFrAEN: a Reconfigurable Vibration Analysis Framework for Constrained sensor Nodes 17

ReFrAEN: a Reconfigurable Vibration Analysis Framework for C...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Thangarajan, Ashok Samraj Yang, Fan Joosen, Wouter Michiels, Sam Hughes, Danny Katholieke Univ Leuven Imec DistriNet Leuven Belgium

ISBN: (纸本)9781665439299

Vibration monitoring uses data gathered from accelerometers to study kinetic phenomena in applications such as: structural health monitoring and predictive maintenance. The Internet of Things (IoT) has the potential to greatly expand the range and scope of vibration monitoring applications by delivering long-life wireless sensors that can be cost-effectively embedded in hard to reach places such as;within machines, infrastructure or the built environment. However, achieving this vision is difficult due to the stringent resource constraints of contemporary IoT devices and networks. This has led the research community to develop a creative range of application-specific near-sensor processing firmware. However, systematic support for generic vibration monitoring on resource-poor IoT networks remains an open problem. We tackle this challenge by introducing ReFrAEN, a software framework that efficiently enables a wide range of vibration monitoring applications on IoT networks. ReFrAEN achieves this through a deeply configurable combination of compression techniques and data processing algorithms. These features allow end-users to effectively trade-off between resource consumption and data resolution in order to meet battery life constraints while preserving sufficient data quality to support the target application. Our evaluation shows that ReFrAEN is capable of identifying bearing faults, while dramatically improving battery lifetime and reducing latency in comparison to prior approaches.

关键词： IoT Near sensor Processing Vibration Monitoring

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Spectral Clustering Based Resource Allocation Strategy for distributed Large-scale Network Emulation 25

Spectral Clustering Based Resource Allocation Strategy for D...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Chen, Jiyan Gu, Rentao Bai, Lin Sch. of Information and Communication Engineering Beijing University of Posts and Telecommunications State Key Laboratory of Information Photonics and Optical Communications Beijing China School of Economics and Management Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350330014

Nowadays, networks are increasingly reliant on software frameworks and virtualization. To obtain relevant pre-dictions of the behavior of their protocols, network emulation tools play a crucial role. However, as networks grow in size and complexity, the emulation task demands more physical resources such as CPU and memory. Consequently, a single physical machine is no longer sufficient to handle large-scale network emulation. Instead, distributed network emulation tools must be employed for resource-intensive network emulation tasks. In resource-intensive distributed network emulation, the physical resource allocation is NP-hard to perform appropriately. In this paper, we propose SCBG (spectral clustering based greedy node placement algorithm) as a means to enhance the bandwidth utilization between physical nodes in distributed emulation. SCBG aims to address the communication bottleneck in distributed network simulation, surpassing the algorithm proposed by Distrinet, while also improving the algorithm's execution speed. Additionally, SCBG incorporates optimization for time dilation when physical bandwidth resources are severely insufficient. This optimization leads to a reduction in the additional time required for network simulation after applying time dilation. Experimental results demonstrate that SCBG surpasses the algorithm in Distrinet across a diverse range of intricate large-scale networks. © 2023 ieee.

关键词： Optimization

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Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In distributed Smart systems 17

Synthetic Traffic Signs Dataset for Traffic Sign Detection &...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Siniosoglou, Ilias Sarigiannidis, Panagiotis Spyridis, Yannis Khadka, Anish Efstathopoulos, Georgios Lagkas, Thomas Univ Western Macedonia Dept Elect & Comp Engn Kozani Greece 0 Infin Ltd London England Int Hellen Univ Dept Comp Sci Kavala Campus Kavala Greece

ISBN: (纸本)9781665439299

Traffic sign recognition (TSR) is a key aspect involved in the development of robust automated transportation systems. It inherently involves the task of traffic sign detection (TSD), which can be challenging due to traffic signs often being subject to deterioration or occlusion, caused by various environmental factors, or through actions of vandalism. Even though, notable advancements have been achieved in the areas of TSR and TSD, few studies have provided robust algorithms, able to be generalized in real-world applications. This mostly stems from the lack of an extensive traffic sign dataset, standardized for benchmarking purposes. In light of the aforementioned, this paper presents a novel traffic sign dataset, which consists of the Carla Traffic Sign Detection (CTSD), and the Carla Traffic Sign Recognition Dataset (CATERED), targeting the detection and recognition processes respectively. Using the proposed dataset for training and evaluation, a deep Auto-Encoder algorithm is presented, demonstrating high accuracy in detecting and recognizing the distorted traffic signs. Finally, the system is further extended to a federated learning environment, exemplifying its applicability in modern decentralized and interconnected architectures.

关键词： Traffic Sign Recognition Traffic Sign Detection Autoencoder Federated Learning Image synthesis Image classification Anomaly Detection

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SmartON: Just-in-Time Active Event Detection on Energy Harvesting systems 17

SmartON: Just-in-Time Active Event Detection on Energy Harve...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Luo, Yubo Nirjon, Shahriar Univ N Carolina Dept Comp Sci Chapel Hill NC 27515 USA

ISBN: (纸本)9781665439299

We propose SmartON, a batteryless system that learns to wake up proactively at the right moment in order to detect events of interest. It does so by adapting the duty cycle to match the distribution of event arrival times under the constraints of harvested energy. While existing energy harvesting systems either wake up periodically at a fixed rate to sense and process the data, or wake up only in accordance with the availability of the energy source, SmartON employs a three-phase learning framework to learn the energy harvesting pattern as well as the pattern of events at run-time, and uses that knowledge to wake itself up when events are most likely to occur. The three-phase learning framework enables rapid adaptation to environmental changes in both short and long terms. Being able to remain asleep more often than a CTID (charging-then-immediate-discharging) wake-up system and adapt to the event pattern, SmartON is able to reduce energy waste, increase energy efficiency, and capture more events. To realize SmartON we have developed a dedicated hardware platform whose power management module activates capacitors on-the-fly to dynamically increase its storage capacitance. We conduct both simulation-driven and real-system experiments to demonstrate that SmartON captures 1X-7X more events and is 8X-17X more energy-efficient than a CTID system. All source code and hardware design files are open-sourced(1).

关键词： Event detection Power system management Capacitance Energy efficiency Hardware Software sensor systems

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Leveraging Cross-Technology Broadcast Communication to build Gateway-Free Smart Homes 17

Leveraging Cross-Technology Broadcast Communication to build...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Brunner, Hannah Hofmann, Rainer Schuss, Markus Link, Jakob Hollick, Matthias Boano, Carlo Alberto Roemer, Kay Graz Univ Technol Inst Tech Informat Graz Austria Tech Univ Darmstadt Secure Mobile Networking Lab Darmstadt Germany

ISBN: (纸本)9781665439299

Despite the growing interest in cross-technology communication, its application to real-world systems is still limited, as existing schemes are mostly unidirectional and technology-specific. The lack of generic solutions as well as the complexity of their integration reduces the applicability in a broader scope. In this paper, we propose a solution to augment Wi-Fi, BLE, and ZigBee devices with the ability to transmit and receive cross-technology broadcast frames alongside their existing functionality. After experimentally evaluating the performance of our solution on a variety of hardware platforms, we leverage it to build a gateway-free smart home, where a smartphone can simultaneously control heterogeneous smart objects. The smart objects, which include an off-the-shelf ZigBee light bulb and a BLE-enabled door lock from different vendors, perform cross-technology communication while retaining their original functionality and can maintain duty-cycled operations.

关键词： Cross-technology communication IoT Nexmon Smart door lock Smart light bulb BLE ieee 802.15.4 Wi-Fi ZigBee X-Burst Broadcom bcm43 Raspberry Pi Nexus 6P

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