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Open AccessJournal ArticleDOI

In-Depth Brakdown of a 6LoWPAN Stack for Sensor Networks

Sergio Lembo, +2 more
- 18 Nov 2010 - 
- Vol. 2, Iss: 6, pp 204-223
TLDR
This paper is an extended version of the previous work documenting the internal logic of an implemented and working 6LoWPAN stack, Nanostack, and presents first the main architecture of the stack and subsequently describe the path followed by a packet transiting the different layers.
Abstract
There exist several open source 6LoWPAN stacks for researchers to experiment with. However, they often lack sufficient and in-depth description of the internal operation, which makes extending the stacks difficult for many of us. This paper is an extended version of our previous work documenting the internal logic of an implemented and working 6LoWPAN stack, Nanostack (v1.1). We present first the main architecture of the stack and subsequently describe the path followed by a packet transiting the different layers. Then we provide details of each one of the layers in the stack, with exception of the ICMP layer. The main logic in the MAC layer is comprehensively explained, and an undocumented layer used in nodes working as Gateway, the NRP layer, is presented. In addition we provide a conceptual view of the layering of the stack relative to the hardware platform and enumerate the typical tasks running in a sensor node.

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Citations
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Proceedings ArticleDOI

A 6LoWPAN implementation for memory constrained and power efficient wireless sensor nodes

TL;DR: A successful implementation of 6LoWPAN/CD (6 LoWPAN protocol for constrained devices) on bare metal CC430-based sensor nodes has been designed and implemented and is based on open source software including the Contiki operating system and TI SimpliciTI protocol stack.
Proceedings ArticleDOI

Old Wine in New Skins?: Revisiting the Software Architecture for IP Network Stacks on Constrained IoT Devices

TL;DR: In this paper, the authors argue that existing concepts for the design and implementation of network stacks for constrained devices do not comply with the requirements of current and upcoming Internet of Things (IoT) use cases.
Proceedings ArticleDOI

An infrastructure for integrating heterogeneous embedded 6LoWPAN networks for Internet of Things applications

TL;DR: An integrated hardware/software solution is presented to bridge two heterogeneous 6LoWPAN networks motivated by the necessity of merging a body area network and an environment control network in typical health monitoring applications of an intelligent environment.
Book ChapterDOI

A Survey on All-IP Wireless Sensor Network

TL;DR: A brief introduction of several methods of interconnecting WSN with the Internet and the necessity of all-IP method is presented and current state-of-the-art on the all- IP WSN are discussed.
Proceedings ArticleDOI

A Wearable Internet of Things Mote with Bare Metal 6LoWPAN Protocol for Pervasive Healthcare

TL;DR: This paper addresses the use of the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) protocol for integrating small scale BANs for vital signs monitoring to the wider Internet.
References
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Proceedings ArticleDOI

Comparisons of 6LoWPAN Implementations on Wireless Sensor Networks

TL;DR: This paper presents the approach for the 6LoWPAN implementation which aims to preserve the advantages of modularity while keeping a small memory footprint and a good efficiency.

A Reconfigurable Wireless Sensor Network for Structural Health Monitoring

TL;DR: The results show that the sensor nodes provide data that, if processed in the frequency domain, allow the correct identification of the vibrations frequencies of the structure.
Proceedings ArticleDOI

Time synchronization accuracy in real-time wireless sensor networks

TL;DR: A novel scheme for collision avoidance of broadcast synchronization beacons is proposed, named ¿-Synch, which achieves synchronization accuracy higher than that of originally proposed flooding time synchronization protocol (FTSP).
Proceedings ArticleDOI

On the performance of the PIDPLUS controller in wireless control systems

TL;DR: The results suggest that PIDPLUS can well be used for wireless control, but better performance could be attained by further development of the controller tuning methodology.