419 research outputs found

    Polling-Based Downlink Communication Protocol for LoRaWAN using Traffic Indication

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2019. 2. ๊น€์ข…๊ถŒ.LPWAN (Low Power Wide Area Network) technologies such as LoRa and SigFox are emerging as a technology of choice for the Internet of Things (IoT) applications where tens of thousands of untethered devices are deployed over a wide area. In such operating environments, energy conservation is one of the most crucial concerns and network protocols adopt various power saving schemes to lengthen device lifetimes. For example, to avoid idle listening, LoRaWAN restricts downlink communications. However, the confined design philosophy impedes the deployment of IoT applications that require asynchronous downlink communications. In this thesis, we design and implement an energy efficient downlink communication mechanism, named TRILO, for LoRaWAN. We aim to make TRILO be energy efficient while obeying an unavoidable trade-off that balances between latency and energy consumption. TRILO adopts a beacon mechanism that periodically alerts end-devices which have pending downlink frames. We implement the proposed protocol on top of commercially available LoRaWAN components and confirm that the protocol operates properly in real-world experiments. Experimental results show that TRILO successfully transmits downlink frames without losses while uplink traffic suffers from a slight increase in latency because uplink transmissions should halt during beacons and downlink transmissions. Computer simulation results also show that the proposed scheme is more energy efficient than the legacy LoRaWAN downlink protocol.์ „๋ ฅ ๊ณต๊ธ‰์ด ์ œํ•œ์ ์ธ ์ˆ˜ ๋งŒ๊ฐœ์˜ ๋””๋ฐ”์ด์Šค๋“ค์„ ์ด์šฉํ•˜์—ฌ ๋„“์€ ์ง€์—ญ์„ ๋ฐ”ํƒ•์œผ๋กœ ์šด์˜๋˜๋Š” ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•˜๋Š” ๋ฐ์— ์žˆ์–ด์„œ LoRa, SigFox์™€ ๊ฐ™์€ ์ €์ „๋ ฅ ๊ด‘์—ญ ๋„คํŠธ์›Œํฌ ๊ธฐ์ˆ (LPWA)์ด ์ฃผ๋ชฉ๋ฐ›๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹œ์Šคํ…œ ํ™˜๊ฒฝ์—์„œ ์—๋„ˆ์ง€ ์ ˆ์•ฝ์€ ์ค‘์š”ํ•œ ๊ด€์‹ฌ์‚ฌ ์ค‘ ํ•˜๋‚˜์ด๋ฉฐ ๋„คํŠธ์›Œํฌ ํ”„๋กœํ† ์ฝœ๋“ค์€ ๋‹ค์–‘ํ•œ ์ ˆ์ „ ๋ฐฉ์‹์„ ์ฑ„ํƒํ•˜์—ฌ ๋””๋ฐ”์ด์Šค์˜ ์ˆ˜๋ช…์„ ๋ณด์žฅํ•˜๋ ค ํ•˜๊ณ  ์žˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๋ถˆํ•„์š”ํ•œ ๋Œ€๊ธฐ ์ฒญ์ทจ๋กœ ์ธํ•œ ์—๋„ˆ์ง€ ์†์‹ค์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•ด์„œ LoRaWAN์€ ๋‹ค์šด๋งํฌ ํ†ต์‹ ์„ ์ œํ•œํ•˜๊ณ  ์žˆ๋Š”๋ฐ, ์ด๋Ÿฌํ•œ ์„ค๊ณ„ ์ฒ ํ•™์€ ๋น„๋™๊ธฐ์ ์ธ ๋‹ค์šด๋งํฌ ํ†ต์‹ ์„ ํ•„์š”๋กœ ํ•˜๋Š” IoT ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ์š”๊ตฌ ์‚ฌํ•ญ์„ ์ถฉ์กฑ์‹œํ‚ค์ง€ ๋ชปํ•˜๋Š” ๋ฌธ์ œ์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” LoRaWAN์—์„œ ๋‹ค์šด๋งํฌ๋ฅผ ํšจ๊ณผ์ ์œผ๋กœ ์ปจํŠธ๋กคํ•  ์ˆ˜ ์žˆ๋„๋ก TRILO๋ผ๋Š” ์—๋„ˆ์ง€ ํšจ์œจ์ ์ธ ๋‹ค์šด๋งํฌ ํ†ต์‹  ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์„ค๊ณ„ํ•˜๊ณ  ๊ตฌํ˜„ํ•˜์˜€๋‹ค. TRILO๋Š” ๋‹ค์šด๋งํฌ ํ”„๋ ˆ์ž„์ด ํŒฌ๋”ฉ๋˜์–ด ์žˆ๋Š” ์—”๋“œ ๋””๋ฐ”์ด์Šค๋“ค์˜ ๋ฆฌ์ŠคํŠธ ์ •๋ณด๋ฅผ ์ฃผ๊ธฐ์ ์œผ๋กœ ๋„คํŠธ์›Œํฌ์— ์•Œ๋ฆฌ๋Š” ๋น„์ฝ˜ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์ฑ„ํƒํ•˜์˜€๊ณ , ์„œ๋ฒ„์™€ ๋””๋ฐ”์ด์Šค๋“ค์ด ๊ฐ๊ฐ ์ •ํ•ด์ง„ ์ˆœ์„œ์— ๋”ฐ๋ผ ๋‹ค์šด๋งํฌ ์ „์†ก ๋ฐ ์ˆ˜์‹ ์„ ์Šค์ผ€์ค„๋งํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ์„ค๊ณ„ํ•œ ํ”„๋กœํ† ์ฝœ์ด ์ œ๋Œ€๋กœ ๋™์ž‘ํ•˜๋Š”์ง€ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด์„œ ๊ธฐ์กด LoRaWAN์˜ ๊ตฌ์„ฑ ์š”์†Œ ์œ„์— ์ œ์•ˆ๋œ ํ”„๋กœํ† ์ฝœ์„ ๊ตฌํ˜„ํ•œ ํ›„ ์‹ค์ œ ํ…Œ์ŠคํŠธ ๋ฒ ๋“œ๋ฅผ ๊ตฌ์ถ•ํ•˜์—ฌ์„œ ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด TRILO๋Š” ๊ธฐ์กด ํ”„๋กœํ† ์ฝœ์˜ ์—…๋งํฌ ํ†ต์‹  ์„ฑ๋Šฅ์„ ์ €ํ•ดํ•˜์ง€ ์•Š์œผ๋ฉด์„œ๋„ ์ถ”๊ฐ€์ ์ธ ๋‹ค์šด๋งํฌ ํ”„๋ ˆ์ž„์„ ์†์‹ค ์—†์ด ์„ฑ๊ณต์ ์œผ๋กœ ์ „์†ก ๋ฐ ์ˆ˜์‹ ํ•˜์˜€๊ณ , ์ปดํ“จํ„ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋˜ํ•œ ์ œ์•ˆ๋œ ๊ธฐ๋ฒ•์ด ๊ธฐ์กด์˜ LoRaWAN ๋‹ค์šด๋งํฌ ํ”„๋กœํ† ์ฝœ๋ณด๋‹ค ๋” ์—๋„ˆ์ง€ ํšจ์œจ์ ์œผ๋กœ ๋™์ž‘ํ•˜๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค.ABSTRACT ........................................................................................................... โ…ฐ CONTENTS ........................................................................................................... โ…ฒ LIST OF FIGURES ............................................................................................ โ…ณ LIST OF TABLES .............................................................................................. โ…ต CHAPTER โ… : Introduction ................................................................................ 1 CHAPTER โ…ก: Related Work ............................................................................. 8 CHAPTER โ…ข: A Primer on LoRa and LoRaWAN .................................. 11 CHAPTER โ…ฃ: Downlink Communications Scheme .................................. 17 4.1 Comparison of Two Polling Schemes ..................................... 19 4.2 Proposed Downlink Communications Scheme ....................... 26 CHAPTER โ…ค: Implementation ........................................................................ 28 CHAPTER โ…ฅ: Evaluation ................................................................................. 31 6.1 Experimental Results .................................................................... 32 6.2 Simulation Results ......................................................................... 37 CHAPTER โ…ฆ: Discussion ................................................................................. 42 CHAPTER โ…ง: Conclusion ................................................................................. 45 BIBLIOGRAPHY ................................................................................................... 47 ์ดˆ๋ก ........................................................................................................................... 51Maste

    A bluetooth-based wireless distributed data acquisition and control system

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    This paper presents an application independent embedded platform for a wireless distributed data acquisition and control system, and describes its application in the scenario of controlling the information processing and communications between sensors and actuators onboard of an autonomous flying robot, in a โ€œfly-by-wirelessโ€ approach. The system, which was designed and implemented, comprises a set of nodes composed by microcontrollers, wireless communication modules based on Bluetooth technology, and sensing/actuation devices. This paper also presents several experimental results which denote encouraging performance characteristics for the developed system, not only in the context of the proposed application, but for other wireless applications as well

    Low power body sensor network design based on relaying of creeping waves in the unlicensed 2.4GHz band

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    Body Sensor Networks are an important enabling technology for future applications in remote medical diagnostics. Practical deployments of these systems have only recently edged closer to viability, due in part to advances in low power electronics and System-On-Chip devices. Wireless communication between these sensors remains a daunting challenge, and designers typically leverage existing industrial standards designed for applications with significantly different communications requirements. This Thesis proposes a wireless communications platform designed specifically for body mounted sensors, exploiting a phenomenon in electromagnetic wave propagation known as a creeping wave. Relaying of these waves leads to a highly reliable body sensor network with very low power consumption in the unlicensed 2.4 GHz band. A link budget is derived based on the creeping wave component of the transmitted signal, which is then used to design a spread spectrum wireless transceiver. Significant attention is given to interference mitigation, allowing the system to co-exist with other wireless devices on the internationally unlicensed band. Fading statistics from both anechoic and high multipath scenarios are used to define a channel model for the system. The link budget and channel model lead to the proposed use of relaying as a power savings technique, and this concept is a core feature of the design. This technique is shown to provide reliable total body coverage with very low transmission power, a result that has eluded body sensor networks to date. Various relaying topologies are discussed, and robust operation for highly mobile users is achieved via sensor handoffs, a concept that resembles a similar solution in cellular networks. The design extends to define a polling protocol and packet structures. Objective performance metrics are defined, and the proposed system is evaluated in line with these metrics. The power reduction of the suggested approach is analyzed by comparing the network lifetime and energy-per-bit to those of a reference system offering the same quality of service without relaying. The analysis results in generic closed form expressions of significant gains. The improvement in network lifetime increases with the number of sensors and settles at approximately 8x104, 7x106, 7x107 and 3x108 for 2,4,6 and 8 relaying nodes respectively. The energy-per-bit is shown to decrease by 2, 116, 828 and 2567 for 2, 4, 6 and 8 relay nodes respectively

    In-band network telemetry in industrial wireless sensor networks

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    With the emergence of the Internet of Things (IoT) and Industry 4.0 concepts, industrial applications are going through a tremendous change that is imposing increasingly diverse and demanding network dynamics and requirements with a wider and more fine-grained scale. Therefore, there is a growing need for more flexible and reconfigurable industrial networking solutions complemented with powerful monitoring and management functionalities. In this sense, this paper presents a novel efficient network monitoring and telemetry solution for Industrial Wireless Sensor Networks mainly focusing on the 6TiSCH Network stack, a complete protocol stack for ultra-reliable ultra-low-power wireless mesh networks. The proposed monitoring solution creates a flexible and powerful in-band network telemetry design with minimized resource consumption and communication overhead while supporting a wide range of monitoring operations and strategies for dealing with various network scenarios and use cases. Besides, the technical capabilities and characteristics of the proposed solution are evaluated via a real-life implementation, practical and theoretical analysis. These experiments demonstrate that in-band telemetry can provide ultra-efficient network monitoring operations without any effect on the network behavior and performance, validating its suitability for Industrial Wireless Sensor Networks

    Integrated sensor and management system for urban waste water networks and prevention of critical situations

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    [EN] This work describes the design and implementation of improvements to the monitoring system of an urban waste water network, resulting in more efficient management of the system. To achieve this objective, the latest communications technology has been incorporated into heterogeneous networks and sensor systems. This technology includes mobile systems, which take measurements and transmit images in real time, an intelligent platform for processing and management of variables, and the implementation of wireless sensor networks (WSNs) designed with specific protocols and tools that allow the rapid deployment of the network and allow measurements to be taken in emergency situations. The sensors in this type of installation are extremely important for the management of the system as they allow us to collect information and make decisions with sufficient time to deal effectively with critical situations such as flooding or overloading of the waste water system, or environmental problems such as dumping of possible pollutants, as well as to make the best use of the water cycle. The solution presented here automates large portions of the processes, minimizing the possibility of human error, and increasing the frequency and accuracy of the measurements taken, ensuring a robust communication system covering all the elements involved to provide ubiquity of information, and finally gives an application layer to manage the system and receive alerts. ยฉ 2011 Elsevier Ltd.This work was supported by the MCyT (Spanish Ministry of Science and Technology) under the projects PET2007-0316 and TIN2010-21378-C02-02, which are partially funded by ERDF (European Regional Development Fund).Sempere Paya, VM.; Santonja Climent, S. (2012). Integrated sensor and management system for urban waste water networks and prevention of critical situations. Computers, Environment and Urban Systems. 36(1):65-80. https://doi.org/10.1016/j.compenvurbsys.2011.07.001S658036

    Unified radio and network control across heterogeneous hardware platforms

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    Experimentation is an important step in the investigation of techniques for handling spectrum scarcity or the development of new waveforms in future wireless networks. However, it is impractical and not cost effective to construct custom platforms for each future network scenario to be investigated. This problem is addressed by defining Unified Programming Interfaces that allow common access to several platforms for experimentation-based prototyping, research, and development purposes. The design of these interfaces is driven by a diverse set of scenarios that capture the functionality relevant to future network implementations while trying to keep them as generic as possible. Herein, the definition of this set of scenarios is presented as well as the architecture for supporting experimentation-based wireless research over multiple hardware platforms. The proposed architecture for experimentation incorporates both local and global unified interfaces to control any aspect of a wireless system while being completely agnostic to the actual technology incorporated. Control is feasible from the low-level features of individual radios to the entire network stack, including hierarchical control combinations. A testbed to enable the use of the above architecture is utilized that uses a backbone network in order to be able to extract measurements and observe the overall behaviour of the system under test without imposing further communication overhead to the actual experiment. Based on the aforementioned architecture, a system is proposed that is able to support the advancement of intelligent techniques for future networks through experimentation while decoupling promising algorithms and techniques from the capabilities of a specific hardware platform

    Resource Allocation in Wireless Networks with RF Energy Harvesting and Transfer

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    Radio frequency (RF) energy harvesting and transfer techniques have recently become alternative methods to power the next generation of wireless networks. As this emerging technology enables proactive replenishment of wireless devices, it is advantageous in supporting applications with quality-of-service (QoS) requirement. This article focuses on the resource allocation issues in wireless networks with RF energy harvesting capability, referred to as RF energy harvesting networks (RF-EHNs). First, we present an overview of the RF-EHNs, followed by a review of a variety of issues regarding resource allocation. Then, we present a case study of designing in the receiver operation policy, which is of paramount importance in the RF-EHNs. We focus on QoS support and service differentiation, which have not been addressed by previous literatures. Furthermore, we outline some open research directions.Comment: To appear in IEEE Networ

    Performance analysis and application development of hybrid WiMAX-WiFi IP video surveillance systems

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    Traditional Closed Circuit Television (CCTV) analogue cameras installed in buildings and other areas of security interest necessitates the use of cable lines. However, analogue systems are limited by distance; and storing analogue data requires huge space or bandwidth. Wired systems are also prone to vandalism, they cannot be installed in a hostile terrain and in heritage sites, where cabling would distort original design. Currently, there is a paradigm shift towards wireless solutions (WiMAX, Wi-Fi, 3G, 4G) to complement and in some cases replace the wired system. A wireless solution of the Fourth-Generation Surveillance System (4GSS) has been proposed in this thesis. It is a hybrid WiMAX-WiFi video surveillance system. The performance analysis of the hybrid WiMAX-WiFi is compared with the conventional WiMAX surveillance models. The video surveillance models and the algorithm that exploit the advantages of both WiMAX and Wi-Fi for scenarios of fixed and mobile wireless cameras have been proposed, simulated and compared with the mathematical/analytical models. The hybrid WiMAX-WiFi video surveillance model has been extended to include a Wireless Mesh configuration on the Wi-Fi part, to improve the scalability and reliability. A performance analysis for hybrid WiMAX-WiFi system with an appropriate Mobility model has been considered for the case of mobile cameras. A security software application for mobile smartphones that sends surveillance images to either local or remote servers has been developed. The developed software has been tested, evaluated and deployed in low bandwidth Wi-Fi wireless network environments. WiMAX is a wireless metropolitan access network technology that provides broadband services to the connected customers. Major modules and units of WiMAX include the Customer Provided Equipment (CPE), the Access Service Network (ASN) which consist one or more Base Stations (BS) and the Connectivity Service Network (CSN). Various interfaces exist between each unit and module. WiMAX is based on the IEEE 802.16 family of standards. Wi-Fi, on the other hand, is a wireless access network operating in the local area network; and it is based on the IEEE 802.11 standards
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