184 research outputs found
Delay-Tolerant ICN and Its Application to LoRa
Connecting long-range wireless networks to the Internet imposes challenges
due to vastly longer round-trip-times (RTTs). In this paper, we present an ICN
protocol framework that enables robust and efficient delay-tolerant
communication to edge networks. Our approach provides ICN-idiomatic
communication between networks with vastly different RTTs. We applied this
framework to LoRa, enabling end-to-end consumer-to-LoRa-producer interaction
over an ICN-Internet and asynchronous data production in the LoRa edge. Instead
of using LoRaWAN, we implemented an IEEE 802.15.4e DSME MAC layer on top of the
LoRa PHY and ICN protocol mechanisms in RIOT OS. Executed on off-the-shelf IoT
hardware, we provide a comparative evaluation for basic NDN-style ICN [60],
RICE [31]-like pulling, and reflexive forwarding [46]. This is the first
practical evaluation of ICN over LoRa using a reliable MAC. Our results show
that periodic polling in NDN works inefficiently when facing long and differing
RTTs. RICE reduces polling overhead and exploits gateway knowledge, without
violating ICN principles. Reflexive forwarding reflects sporadic data
generation naturally. Combined with a local data push, it operates efficiently
and enables lifetimes of >1 year for battery powered LoRa-ICN nodes.Comment: 12 pages, 7 figures, 2 table
Polling-Based Downlink Communication Protocol for LoRaWAN using Traffic Indication
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ๊ณต๊ณผ๋ํ ์ปดํจํฐ๊ณตํ๋ถ, 2019. 2. ๊น์ข
๊ถ.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 ๊ณต๊ธ์ด ์ ํ์ ์ธ ์ ๋ง๊ฐ์ ๋๋ฐ์ด์ค๋ค์ ์ด์ฉํ์ฌ ๋์ ์ง์ญ์ ๋ฐํ์ผ๋ก ์ด์๋๋ ์ฌ๋ฌผ์ธํฐ๋ท ์์คํ
์ ๊ตฌ์ถํ๋ ๋ฐ์ ์์ด์ LoRa, SigFox์ ๊ฐ์ ์ ์ ๋ ฅ ๊ด์ญ ๋คํธ์ํฌ ๊ธฐ์ (LPWA)์ด ์ฃผ๋ชฉ๋ฐ๊ณ ์๋ค. ์ด๋ฌํ ์์คํ
ํ๊ฒฝ์์ ์๋์ง ์ ์ฝ์ ์ค์ํ ๊ด์ฌ์ฌ ์ค ํ๋์ด๋ฉฐ ๋คํธ์ํฌ ํ๋กํ ์ฝ๋ค์ ๋ค์ํ ์ ์ ๋ฐฉ์์ ์ฑํํ์ฌ ๋๋ฐ์ด์ค์ ์๋ช
์ ๋ณด์ฅํ๋ ค ํ๊ณ ์๋ค. ์๋ฅผ ๋ค์ด, ๋ถํ์ํ ๋๊ธฐ ์ฒญ์ทจ๋ก ์ธํ ์๋์ง ์์ค์ ๋ฐฉ์งํ๊ธฐ ์ํด์ LoRaWAN์ ๋ค์ด๋งํฌ ํต์ ์ ์ ํํ๊ณ ์๋๋ฐ, ์ด๋ฌํ ์ค๊ณ ์ฒ ํ์ ๋น๋๊ธฐ์ ์ธ ๋ค์ด๋งํฌ ํต์ ์ ํ์๋ก ํ๋ IoT ์ ํ๋ฆฌ์ผ์ด์
์ ์๊ตฌ ์ฌํญ์ ์ถฉ์กฑ์ํค์ง ๋ชปํ๋ ๋ฌธ์ ์ ์ ๊ฐ์ง๊ณ ์๋ค. ๋ฐ๋ผ์ ๋ณธ ๋
ผ๋ฌธ์์๋ LoRaWAN์์ ๋ค์ด๋งํฌ๋ฅผ ํจ๊ณผ์ ์ผ๋ก ์ปจํธ๋กคํ ์ ์๋๋ก TRILO๋ผ๋ ์๋์ง ํจ์จ์ ์ธ ๋ค์ด๋งํฌ ํต์ ๋ฉ์ปค๋์ฆ์ ์ค๊ณํ๊ณ ๊ตฌํํ์๋ค. TRILO๋ ๋ค์ด๋งํฌ ํ๋ ์์ด ํฌ๋ฉ๋์ด ์๋ ์๋ ๋๋ฐ์ด์ค๋ค์ ๋ฆฌ์คํธ ์ ๋ณด๋ฅผ ์ฃผ๊ธฐ์ ์ผ๋ก ๋คํธ์ํฌ์ ์๋ฆฌ๋ ๋น์ฝ ๋ฉ์ปค๋์ฆ์ ์ฑํํ์๊ณ , ์๋ฒ์ ๋๋ฐ์ด์ค๋ค์ด ๊ฐ๊ฐ ์ ํด์ง ์์์ ๋ฐ๋ผ ๋ค์ด๋งํฌ ์ ์ก ๋ฐ ์์ ์ ์ค์ผ์ค๋งํ๋๋ก ํ์๋ค. ์ค๊ณํ ํ๋กํ ์ฝ์ด ์ ๋๋ก ๋์ํ๋์ง ๊ฒ์ฆํ๊ธฐ ์ํด์ ๊ธฐ์กด LoRaWAN์ ๊ตฌ์ฑ ์์ ์์ ์ ์๋ ํ๋กํ ์ฝ์ ๊ตฌํํ ํ ์ค์ ํ
์คํธ ๋ฒ ๋๋ฅผ ๊ตฌ์ถํ์ฌ์ ์คํ์ ์งํํ์๋ค. ์คํ ๊ฒฐ๊ณผ์ ๋ฐ๋ฅด๋ฉด TRILO๋ ๊ธฐ์กด ํ๋กํ ์ฝ์ ์
๋งํฌ ํต์ ์ฑ๋ฅ์ ์ ํดํ์ง ์์ผ๋ฉด์๋ ์ถ๊ฐ์ ์ธ ๋ค์ด๋งํฌ ํ๋ ์์ ์์ค ์์ด ์ฑ๊ณต์ ์ผ๋ก ์ ์ก ๋ฐ ์์ ํ์๊ณ , ์ปดํจํฐ ์๋ฎฌ๋ ์ด์
๊ฒฐ๊ณผ ๋ํ ์ ์๋ ๊ธฐ๋ฒ์ด ๊ธฐ์กด์ LoRaWAN ๋ค์ด๋งํฌ ํ๋กํ ์ฝ๋ณด๋ค ๋ ์๋์ง ํจ์จ์ ์ผ๋ก ๋์ํ๋ ๊ฒ์ ๋ณด์ฌ์ฃผ์๋ค.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
์ด๋ก ........................................................................................................................... 51Maste
Relaying in the Internet of Things (IoT): A Survey
The deployment of relays between Internet of Things (IoT) end devices and gateways can improve link quality. In cellular-based IoT, relays have the potential to reduce base station overload. The energy expended in single-hop long-range communication can be reduced if relays listen to transmissions of end devices and forward these observations to gateways. However, incorporating relays into IoT networks faces some challenges. IoT end devices are designed primarily for uplink communication of small-sized observations toward the network; hence, opportunistically using end devices as relays needs a redesign of both the medium access control (MAC) layer protocol of such end devices and possible addition of new communication interfaces. Additionally, the wake-up time of IoT end devices needs to be synchronized with that of the relays. For cellular-based IoT, the possibility of using infrastructure relays exists, and noncellular IoT networks can leverage the presence of mobile devices for relaying, for example, in remote healthcare. However, the latter presents problems of incentivizing relay participation and managing the mobility of relays. Furthermore, although relays can increase the lifetime of IoT networks, deploying relays implies the need for additional batteries to power them. This can erode the energy efficiency gain that relays offer. Therefore, designing relay-assisted IoT networks that provide acceptable trade-offs is key, and this goes beyond adding an extra transmit RF chain to a relay-enabled IoT end device. There has been increasing research interest in IoT relaying, as demonstrated in the available literature. Works that consider these issues are surveyed in this paper to provide insight into the state of the art, provide design insights for network designers and motivate future research directions
GNSS-free outdoor localization techniques for resource-constrained IoT architectures : a literature review
Large-scale deployments of the Internet of Things (IoT) are adopted for performance
improvement and cost reduction in several application domains. The four main IoT application
domains covered throughout this article are smart cities, smart transportation, smart healthcare, and
smart manufacturing. To increase IoT applicability, data generated by the IoT devices need to be
time-stamped and spatially contextualized. LPWANs have become an attractive solution for outdoor
localization and received significant attention from the research community due to low-power,
low-cost, and long-range communication. In addition, its signals can be used for communication
and localization simultaneously. There are different proposed localization methods to obtain the
IoT relative location. Each category of these proposed methods has pros and cons that make them
useful for specific IoT systems. Nevertheless, there are some limitations in proposed localization
methods that need to be eliminated to meet the IoT ecosystem needs completely. This has motivated
this work and provided the following contributions: (1) definition of the main requirements and
limitations of outdoor localization techniques for the IoT ecosystem, (2) description of the most
relevant GNSS-free outdoor localization methods with a focus on LPWAN technologies, (3) survey
the most relevant methods used within the IoT ecosystem for improving GNSS-free localization
accuracy, and (4) discussion covering the open challenges and future directions within the field.
Some of the important open issues that have different requirements in different IoT systems include
energy consumption, security and privacy, accuracy, and scalability. This paper provides an overview
of research works that have been published between 2018 to July 2021 and made available through
the Google Scholar database.5311-8814-F0ED | Sara Maria da Cruz Maia de Oliveira PaivaN/
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