IPv6 over Low-Power Wireless Personal Area Network (6LoWPAN) ESC Dispatch Code Points and Guidelines

Chakrabarti, Samita; Montenegro, Gabriel; Droms, Ralph

doi:10.17487/rfc8066

Cited by 10 publications

(5 citation statements)

References 2 publications

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“…The bit-rate is chosen to a conservative value, in order to support low-power sensor nodes. Aligned with the described constraints, light-weight networking protocols are also considered, namely 6LoWPAN, which introduces several compression mechanisms for achieving reduced overhead [17,18], while being IPcompatible. Moreover, the CoAP protocol is used with its feature of proxying requests in order to reach sensor nodes through satellite nodes, while using UDP and providing an easy translation to HTTP-based requests.…”

Section: Properties Of Small-satellites Swarmmentioning

confidence: 99%

Freely Drifting Small-Satellite Swarms for Sensor Networks in the Arctic

Birkeland

Palma

2018

Advances in Intelligent Systems and Computing

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Satellite communications have been widely used to provide connectivity around the world. However, regions such as the Arctic still have limited coverage, despite the need to monitor this region. Currently, several sensors are deployed in the Arctic, but are limited by poor and costly connectivity. Constellations of small-satellites, or CubeSats, have been proposed in order to overcome this lack of connectivity, offering an alternative to typical satellite solutions. However, these constellations face challenges in their deployment and in orbital station keeping. In this paper, we propose a simpler deployment of small-satellites, in the form of a drifting swarm, integrated with networking protocols widely used in the Internet of Things (IoT). A realistic setup is considered, evaluating this solution taking into account the position of sensor nodes, ground stations and the dynamics of such a drifting swarm. The topology evolution of the small-satellite swarm is studied and all its link characteristics are emulated using a real network stack and protocols. The obtained results prove the feasibility of the proposed solution and show that a freely-drifting satellite swarm, with three small satellites, outperforms more costly solutions. Our results also show that by using standardised networking protocols, a satellite architecture with two ground-stations connected over the internet, can reduce the average end-to-end time of a request from 88 to 38 minutes. The obtained results motivate the use of freely-drifting swarms of small-satellites for reaching sensor nodes in remote locations, as well as the use of IoT protocols for improved performance.

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Section: Properties Of Small-satellites Swarmmentioning

confidence: 99%

Freely Drifting Small-Satellite Swarms for Sensor Networks in the Arctic

Birkeland

Palma

2018

Advances in Intelligent Systems and Computing

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“…One of the main components of the 6LoWPAN model is the adaptation layer to exchange data between the IPv6 and 6LoWPAN networks, where the IP is compressed to operate with constrained data size [6] [3] [7]. The adaptation layer of 6LoWPAN has been developed to support the IP in CDs [3]. To integrate 6LoWPAN with IPv4 networks, a connection could be made through a gateway node at an edge node.…”

Section: Introductionmentioning

confidence: 99%

“…The 6LoWPAN stack model layers, as shown in table 1, should share a working configuration to work effectively to realize a defined quality of service (QoS) [10]. For example, CoAP should consider the mechanism of the 6LoWPAN adaptation layer and the data size defined by the data link layer (DLL) when sending data [3]. For CDs, the data memory and processing capabilities are limited.…”

Section: Introductionmentioning

confidence: 99%

6LoWPAN Stack Model Configuration for IoT Streaming Data Transmission over CoAP

Aloufi¹

2022

Int. j. commun. netw. inf. secur.

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Different protocols have been developed for the Internet of things (IoT), such as the constrained application protocol (CoAP) for the application layer of the IPv6 over low-power wireless personal area networks (6LoWPAN) stack model. Data transmitted over 6LoWPAN are limited by the throughput and the frame size defined by IEEE 805.14.5 standards. Choosing the best configuration for data transmission involves a trade off between the application requirements, the constrained network configuration, the constrained device specifications and IoT application protocols. This paper provides an analysis of message size and structure recommendations for the 6LoWPAN stack model for different network topologies using CoAP. CoAP is a promising application protocol for the 6LoWPAN stack model because it can effectively manage the transmission required functionality in small header UDP packets compared to TCP packets. However, a data model is also required to realize an effective IoT model. While fragmentation and reassembly are supported by CoAP, they should be avoided for this type of model. As for any conceptual model, a high configuration between layers is mandatory. Additionally, the proposed message format is useful for semantic web of things application development and for WSN design and management.

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“…For IPv6 communication on IEEE 802.15.4 devices, IETF proposed IPv6 over low-power wireless personal area networks (6LoWPANs). These documents focus on the standardization of the IPv6 head compression, 1 neighbor discovery, 2 time-slotted channel hopping (TSCH), 3 and so on.…”

Section: Introductionmentioning

confidence: 99%

An intrusion detection mechanism for IPv6-based wireless sensor networks

Wei

Rong

Liang

et al. 2022

International Journal of Distributed Sensor Networks

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With the advancement of IPv6 technology, many nodes in wireless sensor networks realize seamless connections with the Internet via IPv6 addresses. Security issues are a significant obstacle to the widespread adoption of IPv6 technology. Resource-constrained IPv6 nodes face dual attacks: local and Internet-based. Moreover, constructing an active cyber defense system for IPv6-based wireless sensor networks is difficult. In this article, we propose a K-nearest neighbor-based intrusion detection mechanism and design a secure network framework. This mechanism trains an intrusion detection algorithm using a feature data set to create a normal profile. The intrusion detection algorithm uses the normal profile to perform real-time detection of network traffic data to achieve rapid detections connecting many devices in a wireless sensor network. In addition, we develop a test platform to verify this mechanism. Experimental results show that this mechanism is appropriate for IPv6-based wireless sensor networks and achieves a low false-positive rate and good intrusion detection accuracy at an acceptable resource cost.

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IPv6 over Low-Power Wireless Personal Area Network (6LoWPAN) ESC Dispatch Code Points and Guidelines

Cited by 10 publications

References 2 publications

Freely Drifting Small-Satellite Swarms for Sensor Networks in the Arctic

Freely Drifting Small-Satellite Swarms for Sensor Networks in the Arctic

6LoWPAN Stack Model Configuration for IoT Streaming Data Transmission over CoAP

An intrusion detection mechanism for IPv6-based wireless sensor networks

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