An Advanced GNU Radio Receiver of IEEE 802.15.4 OQPSK Physical Layer

2021 ◽  
pp. 1-1
Author(s):  
Evan Faulkner ◽  
Zelin Yun ◽  
Shengli Zhou ◽  
Zhijie Shi ◽  
Song Han ◽  
...  
Keyword(s):  
Ieee 802.15.4 ◽  
Physical Layer ◽  
Radio Receiver ◽  
Gnu Radio

scholarly journals Performance Effects of Current Consumption on Radio Receiver Bit Error Rate in IEEE 802.15.4 for Wireless Sensor Networks

2014 ◽  
Vol 13 (9) ◽  
pp. 4868-4880
Author(s):  
Sukhvinder Singh Bamber
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Bit Error Rate ◽  
Error Rate ◽  
Ieee 802.15.4 ◽  
Performance Enhancement ◽  
Initial Energy ◽  
Wireless Sensor ◽  
Radio Receiver ◽  
Sleep Mode

This paper investigates the radio receiver Bit Error Rate (BER) at different types of devices in IEEE 802.15.4 Wireless Sensor Networks (WSNs) for the different current draw parameters: transmit mode, receive mode, sleep mode and idle mode keeping other parameters like: initial energy and power supply same for all motes; Clearly proving that if BER is to be taken into consideration for the performance enhancement then Z1 mote should be implemented in IEEE 802.15.4 WSNs as they produce minimal BER. 

scholarly journals An Open-Source LoRa Physical Layer Prototype on GNU Radio

2020 ◽  
Author(s):  
Joachim Tapparel ◽  
Orion Afisiadis ◽  
Paul Mayoraz ◽  
Alexios Balatsoukas-Stimming ◽  
Andreas Burg
Keyword(s):  
Open Source ◽  
Physical Layer ◽  
Gnu Radio

scholarly journals Experimental Interference Robustness Evaluation of IEEE 802.15.4-2015 OQPSK-DSSS and SUN-OFDM Physical Layers for Industrial Communications

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1045 ◽  
Author(s):  
Pere Tuset-Peiró ◽  
Francisco Vázquez-Gallego ◽  
Jonathan Muñoz ◽  
Thomas Watteyne ◽  
Jesus Alonso-Zarate ◽  
...  
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Ieee 802.15.4 ◽  
Physical Layer ◽  
Direct Sequence Spread Spectrum ◽  
Spectrum Efficiency ◽  
Delivery Ratio ◽  
The Sun ◽  
Physical Layers ◽  
The Impact ◽  
Industrial Communications

In this paper, we experimentally evaluate and compare the robustness against interference of the OQPSK-DSSS (Offset Quadrature Phase Shift Keying-Direct Sequence Spread Spectrum) and the SUN-OFDM (Smart Utility Network-Orthogonal Frequency Division Multiplexing) physical layers, as defined in the IEEE 802.15.4-2015 standard. The objective of this study is to provide a comprehensive analysis of the impact that different levels of interference produce on these modulations, in terms of the resulting PDR (Packet Delivery Ratio) and depending on the length of the packet being transmitted. The results show that the SUN-OFDM physical layer provides significant benefits compared to the ubiquitous OQPSK-DSSS in terms of interference robustness, regardless of the interference type and the packet length. Overall, this demonstrates the suitability of choosing the SUN-OFDM physical layer when deploying low-power wireless networks in industrial scenarios, especially taking into consideration the possibility of trading-off robustness and spectrum efficiency depending on the application requirements.

scholarly journals Reliability of ZigBee transmission in agriculture production

2013 ◽  
Vol 59 (No. 4) ◽  
pp. 153-159 ◽  
Author(s):  
I. Mašík
Keyword(s):  
Error Correction ◽  
Agricultural Production ◽  
Wireless Sensors ◽  
Forward Error Correction ◽  
Ieee 802.15.4 ◽  
Physical Layer ◽  
Hamming Code ◽  
Block Data ◽  
Forward Error ◽  
Basic Standard

Currently, the unlicensed ISM (Industrial Scientific and Medical) band 2.4 GHz has become saturated due many standards used at once. In agricultural production ZigBee has a lot of applications, from wireless sensors networks to complicated automation applications. This paper deals with improving the coexistence properties of ZigBee (IEEE 802.15.4), while keeping compatibility with the basic standard. This paper describes principles and application of forward error correction above the physical layer, consisting of block data interleaver and Hamming code, and also the effect of improvements in coexistence with variously loaded WiFi 802.11g.

Data Communications Inside Vehicular Environments

2012 ◽  
pp. 847-862
Author(s):  
Cheng-Min Lin ◽  
Tzong-Jye Liu
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
Ieee 802.15.4 ◽  
Low Cost ◽  
Physical Layer ◽  
Wireless Sensing ◽  
Computing Power ◽  
Active Portion ◽  
Hoc Networks

ZigBee is based on IEEE 802.15.4 which specifies the physical layer and medium access control (MAC) for low-cost and low-power LR-WPAN. The technology can be applied in intelligent key, A/C operation and steering wheel inside vehicles. There are two types of devices in ZigBee, FFD and RFD. A FFD can communicate with RFDs and other FFDs, while a RFD can only communicate with a FFD. In ZigBee physical layer, it follows IEEE 802.15.4 standard and operates in unlicensed RF worldwide (2.4GHz global, 915MHz Americas or 868 MHz Europe). A superframe contained an active portion and an inactive portion is used in the MAC layer of ZigBee. The active portion includes CAP and CFP. In the inactive partition, the coordinator can enter sleep mode to save its power. Three main topologies of ZigBee are star, mesh, and tree. However, ZigBee is successfully produced into a low-cost controller applied for automotive applications, including vehicle control and status monitoring. According to the forecast of ON World in 2005 (ON WORLD, 2009), the deployed wireless sensing network nodes will increase to 127 million in 2010 from 1.2 million in 2005. It can be applied in home automation, battlefield surveillance, health care applications and vehicular environments. A wireless sensor network (WSN) constitutes a lot of wireless sensing nodes. In addition, a node in WSN consists of one or more sensors, a radio transceiver, and a microcontroller. The sensor can be used for sensing temperature, pressure, sound, vibration, motion or position, etc. to collect status from devices or environments. The transceiver is used to relay the information of the collected status computed by the microcontroller to a center node, called a gateway or sink. Therefore, a WSN belongs to one type of wireless ad-hoc networks. However, the nodes in a WSN are usually smaller than that in traditional wireless ad-hoc networks regarding node size, computing power, memory size, and transmission rage. In other words, the transmission ability, computing power, and memory size of WSN nodes are limited.

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