Implementation of lightweight selection cooperation in IEEE 802.15.4 wireless networks using open-source protocol stack and cheap radios

2016 ◽  
Author(s):  
Min Li ◽  
Guosong Xu ◽  
Yuanjie Zhu ◽  
Heng Wang
Keyword(s):  
Wireless Networks ◽  
Open Source ◽  
Ieee 802.15.4 ◽  
Protocol Stack ◽  
Selection Cooperation

Research on Wireless Sensor Networks Based on Open Source System

2014 ◽  
Vol 621 ◽  
pp. 712-718
Author(s):  
Guang You Yang ◽  
Si Jian Zhu ◽  
Rui Quan ◽  
Zhi Yan Ma
Keyword(s):  
Operating System ◽  
Wireless Sensor Networks ◽  
Wireless Networks ◽  
Sensor Networks ◽  
Open Source ◽  
Wireless Sensor ◽  
Protocol Stack ◽  
Network Nodes ◽  
Main Work ◽  
Radio Transceiver

As the key technologies such as wireless communication, sensor continues to mature, wireless sensor networks has become a domestic and foreign focus of research in the field of wireless networks. The main work of the thesis is to implement ZigBee wireless sensor networking, using open source protocol FreakZ On the base of existing hardware. WSN hardware node consists of 32-bit microprocessor STM32F102CB based on ARM Cortex-M3 kernel and AT86RF212 radio transceiver; the software platform uses a lightweight multi-tasking operating system Contiki and open source protocol stack called FreakZ following ZigBee protocol specification, for networking wireless networks nodes. The paper presents the system architecture of WSN networking and its hardware components, software architecture and data transmission and reception processes of the networks. Using FreakZ protocol stack under the Contiki operating system on the base of the existing hardware platform, the network nodes information and topology displayed on the HyperTerminal indicates the success of WSN networking by using FreakZ protocol.

scholarly journals A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Performance Improvement ◽  
Quality Of Experience ◽  
Data Driven ◽  
Protocol Stack ◽  
Comprehensive Survey ◽  
Network Prediction ◽  
Network Quality

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.

scholarly journals Modeling and Performance Analysis of Route-Over and Mesh-Under Routing Schemes in 6LoWPAN under Error-Prone Channel Condition

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Tsung-Han Lee ◽  
Hung-Chi Chu ◽  
Lin-Huang Chang ◽  
Hung-Shiou Chiang ◽  
Yen-Wen Lin
Keyword(s):  
Ieee 802.15.4 ◽  
Radio Link ◽  
Area Network ◽  
Protocol Stack ◽  
Channel Condition ◽  
Routing Schemes ◽  
Wireless Personal Area Network ◽  
Ipv6 Protocol ◽  
Personal Area Network ◽  
Low Rate

6LoWPAN technology has attracted extensive attention recently. It is because 6LoWPAN is one of Internet of Things standard and it adapts to IPv6 protocol stack over low-rate wireless personal area network, such as IEEE 802.15.4. One view is that IP architecture is not suitable for low-rate wireless personal area network. It is a challenge to implement the IPv6 protocol stack into IEEE 802.15.4 devices due to that the size of IPv6 packet is much larger than the maximum packet size of IEEE 802.15.4 in data link layer. In order to solve this problem, 6LoWPAN provides header compression to reduce the transmission overhead for IP packets. In addition, two selected routing schemes, mesh-under and route-over routing schemes, are also proposed in 6LoWPAN to forward IP fragmentations under IEEE 802.15.4 radio link. The distinction is based on which layer of the 6LoWPAN protocol stack is in charge of routing decisions. In route-over routing scheme, the routing distinction is taken at the network layer and, in mesh-under, is taken by the adaptation layer. Thus, the goal of this research is to understand the performance of two routing schemes in 6LoWPAN under error-prone channel condition.

A Protocol Stack for Cooperative Wireless Networks

2007 ◽  
pp. 62-72 ◽  
Author(s):  
Jorge García-Vidal ◽  
Manel Guerrero-Zapata ◽  
Julián Morillo-Pozo ◽  
David Fusté-Vilella
Keyword(s):  
Wireless Networks ◽  
Protocol Stack ◽  
Cooperative Wireless Networks

Research of CANopen Slave Node Based on Embedded System

2011 ◽  
Vol 219-220 ◽  
pp. 629-632
Author(s):  
Zai Ping Chen ◽  
Feng Wang ◽  
Chao Jia
Keyword(s):  
Embedded System ◽  
Open Source ◽  
Can Bus ◽  
Hardware Design ◽  
Protocol Stack ◽  
Application Layer ◽  
Slave Node ◽  
Typical Application ◽  
Implementation Scheme ◽  
Avr Microcontroller

As a typical application layer protocol of CAN-bus, CANopen has been widely accepted in many fields. In this paper, CanFestival, which is a kind of open-source CANopen stack, is briefly introduced. The implementation scheme of CANopen slave node is proposed, which is based on a kind of AVR microcontroller-AT90CAN128 and open-source CANopen stack-CanFestival. In this paper the hardware design of slave node and the open-source protocol stack transplant have completed successfully. The debugging experiment of this slave node communication has been carried out, and the correctness of the scheme of hardware design and software transplant is verified by debugging experiment results in this paper.

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