Performance evaluation of complete data transfer of physical layer according to IEEE 802.15.4 standard

2016 ◽  
Author(s):  
Kota Solomon Raju ◽  
Naresh Babu Merugu ◽  
Neetu ◽  
E. Ram Babu
Keyword(s):  
Performance Evaluation ◽  
Ieee 802.15.4 ◽  
Data Transfer ◽  
Physical Layer ◽  
Complete Data ◽  
Ieee 802.15.4 Standard

scholarly journals A Simulation Model of IEEE 802.15.4 GTS Mechanism and GTS Attacks in OMNeT++ / MiXiM + NETA

2018 ◽  
Vol 11 (1) ◽  
pp. 78 ◽  
Author(s):  
Yasmin M. Amin ◽  
Amr T. Abdel-Hamid
Keyword(s):  
Simulation Model ◽  
Data Transmission ◽  
Ieee 802.15.4 ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Mac Layer ◽  
Management Scheme ◽  
Free Data ◽  
Ieee 802.15.4 Standard ◽  
Time Critical

The IEEE 802.15.4 standard defines the PHY and MAC layer specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs). With the proliferation of many time-critical applications with real-time delivery, low latency, and/or specific bandwidth requirements, Guaranteed Time Slots (GTS) are increasingly being used for reliable contention-free data transmission by nodes within beacon-enabled WPANs. To evaluate the performance of the 802.15.4 GTS management scheme, this paper introduces a new GTS simulation model for OMNeT++ / MiXiM. Our GTS model considers star-topology WPANs within the 2.4 GHz frequency band, and is in full conformance with the IEEE 802.15.4 – 2006 standard. To enable thorough investigation of the behaviors and impacts of different attacks against the 802.15.4 GTS mechanism, a new GTS attacks simulation model for OMNeT++ is also introduced in this paper. Our GTS attacks model is developed for OMNeT++ / NETA, and is integrated with our GTS model to provide a single inclusive OMNeT++ simulation model for both the GTS mechanism and all known-to-date attacks against it.

Researching, building the routing algorithm in Zigbee networks

2021 ◽  
pp. 32-41
Author(s):  
Dao Xuan Uoc
Keyword(s):  
Ieee 802.15.4 ◽  
Mesh Networks ◽  
Routing Algorithm ◽  
Optimal Routing ◽  
Star Network ◽  
Transmission Distance ◽  
Zigbee Networks ◽  
Iot Devices ◽  
Ieee 802.15.4 Standard ◽  
Better Than

Zigbee wireless network built on IEEE 802.15.4 standard is becoming one of the most popular wireless networks in modern IoT devices. One of the disadvantages of Zigbee networks is the short transmission distance between devices. This paper focuses on researching and comparing routing algorithms in Zigbee networks, thereby building the optimal routing algorithm in the existing system. The paper’s objective is to form the basis for making Zigbee tree and mesh networks, which improves the transmission distance for Zigbee networks better than the star network.

scholarly journals Evaluation of ZigBee Topology Effect on Throughput and End to End Delay Due to Different Transmission Bands for IoT Applications

2020 ◽  
Vol 16 (3) ◽  
pp. 254-259
Author(s):  
Yehia R. Hamdy ◽  
Ahmed I Alghannam
Keyword(s):  
Ieee 802.15.4 ◽  
Transmission Band ◽  
Maximum Throughput ◽  
Iot Applications ◽  
End To End Delay ◽  
Star Tree ◽  
Minimum Delay ◽  
End To End ◽  
Riverbed Modeler ◽  
Ieee 802.15.4 Standard

ZigBee is widely used in wireless network in Internet of Things (IoT) applications to remotely sensing and automation due to its unique characteristics compared to other wireless networks. According to ZigBee classification of IEEE 802.15.4 standard, the network consists of four layers. The ZigBee topology is represented in second layer. Furthermore, the ZigBee topology consists of three topologies, star, tree and mesh. Also there are many transmission bands allowed in physical layer, such as 2.4 GHz, 915 MHz, 868 MHz. The aim of this paper is to evaluate the effect of ZigBee topologies on End to End delay and throughput for different transmission bands. Riverbed Modeler is used to simulate multiple ZigBee proposed scenarios and collect the results. The results of the study recommend which topology should be used at each transmission band to provide lowest End to End delay or obtain maximum throughput, which is case sensitive in some IoT applications that required for example minimum delay time or sending high amount of data.

Sign in / Sign up

Export Citation Format

Share Document