Modeling and throughput analysis of randomly deployed IEEE 802.15.4 based Wireless Personal Area Networks

2015 ◽  
Author(s):  
Rambabu A. Vatti ◽  
Arun N. Gaikwad
Keyword(s):  
Ieee 802.15.4 ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Throughput Analysis

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.

scholarly journals Accommodating Machine-To-Machine Traffic In IEEE 802.15.4: The Prioritized Wait Time Approach

2021 ◽  
Author(s):  
Vida Azimi
Keyword(s):  
Ieee 802.15.4 ◽  
Wait Time ◽  
Smart Devices ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Machine To Machine ◽  
M2m Communications ◽  
Distribution Logistics ◽  
Machine Communication ◽  
Transmission And Distribution

Machine-to-Machine communication (M2M) refers to automated applications executing on smart devices or machines that communicate through a network with little or no human intervention at all. By enabling smart devices to communicate directly with one another, M2M communications technology has the potential to radically change the world around us and the way that we interact with objects. Many applications can benefit from M2M communications, such as transportation, health care, smart energy production, transmission, and distribution, logistics, city automation and manufacturing, security and safety, and others. This work describes an approach to implement M2M communications using the well-known IEEE 802.15.4 / ZigBee communications standard for low data rate wireless personal area networks. In order to achieve better performance for M2M traffic, we propose some improvements in the protocol. Our simulation results confirm the validity

Enabling Technologies for Pervasive Computing

2009 ◽  
pp. 1037-1043
Author(s):  
João Henrique Kleinschmidt ◽  
Walter Cunha Borelli
Keyword(s):  
Pervasive Computing ◽  
Ieee 802.15.4 ◽  
Network Formation ◽  
Data Rate ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Medium Access ◽  
Routing And Scheduling ◽  
Mac Layers ◽  
Coexistence Issues

Bluetooth (Bluetooth SIG, 2004) and ZigBee (ZigBee Alliance, 2004) are short-range radio technologies designed for wireless personal area networks (WPANs), where the devices must have low power consumption and require little infrastructure to operate, or none at all. These devices will enable many applications of mobile and pervasive computing. Bluetooth is the IEEE 802.15.1 (2002) standard and focuses on cable replacement for consumer devices and voice applications for medium data rate networks. ZigBee is the IEEE 802.15.4 (2003) standard for low data rate networks for sensors and control devices. The IEEE defines only the physical (PHY) and medium access control (MAC) layers of the standards (Baker, 2005). Both standards have alliances formed by different companies that develop the specifications for the other layers, such as network, link, security, and application. Although designed for different applications, there exists some overlap among these technologies, which are both competitive and complementary. This article makes a comparison of the two standards, addressing the differences, similarities, and coexistence issues. Some research challenges are described, such as quality of service, security, energy-saving methods and protocols for network formation, routing, and scheduling.

IEEE 802.15.4: a developing standard for low-power low-cost wireless personal area networks

IEEE Network ◽  
2001 ◽  
Vol 15 (5) ◽  
pp. 12-19 ◽  
Author(s):  
J.A. Gutierrez ◽  
M. Naeve ◽  
E. Callaway ◽  
M. Bourgeois ◽  
V. Mitter ◽  
...  
Keyword(s):  
Low Power ◽  
Ieee 802.15.4 ◽  
Low Cost ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks

scholarly journals The Exploration of Network Coding in IEEE 802.15.4 Networks

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Deze Zeng ◽  
Song Guo ◽  
Victor Leung ◽  
Jiankun Hu
Keyword(s):  
Energy Efficiency ◽  
Network Coding ◽  
Ieee 802.15.4 ◽  
Low Complexity ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Home Office ◽  
Improve Energy Efficiency ◽  
Energy Constrained ◽  
Time Critical

Wireless personal area networks (WPANs) are getting popular in a variety of fields such as smart home, office automation, and e-healthcare. In WPANs, most devices are considerably energy constrained, so the communication protocol should be energy efficient. The IEEE 802.15.4 is designed as a standard protocol for low power, low data rate, low complexity, and short range connections in WPANs. The standard supports allocating several numbers of collision-free guarantee time slots (GTSs) within a superframe for some time-critical transmissions. Recently, COPE was proposed as a promising network coding architecture to essentially improve the throughput of wireless networks. In this paper, we exploit the network coding technique at coordinators to improve energy efficiency of the WPAN. Some related practical issues, such as GTS allocation and multicast, are also discussed in order to exploit the network coding opportunities efficiently. Since the coding opportunities are mostly exploited, our proposal achieves both higher energy efficiency and throughput performance than the original IEEE 802.15.4.

Enabling Technologies for Pervasive Computing

2007 ◽  
pp. 272-276
Author(s):  
J. Kleinschmidt
Keyword(s):  
Pervasive Computing ◽  
Ieee 802.15.4 ◽  
Network Formation ◽  
Data Rate ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Medium Access ◽  
Routing And Scheduling ◽  
Mac Layers ◽  
Coexistence Issues

Bluetooth (Bluetooth SIG, 2004) and ZigBee (ZigBee Alliance, 2004) are short-range radio technologies designed for wireless personal area networks (WPANs), where the devices must have low power consumption and require little infrastructure to operate, or none at all. These devices will enable many applications of mobile and pervasive computing. Bluetooth is the IEEE 802.15.1 (2002) standard and focuses on cable replacement for consumer devices and voice applications for medium data rate networks. ZigBee is the IEEE 802.15.4 (2003) standard for low data rate networks for sensors and control devices. The IEEE defines only the physical (PHY) and medium access control (MAC) layers of the standards (Baker, 2005). Both standards have alliances formed by different companies that develop the specifications for the other layers, such as network, link, security, and application. Although designed for different applications, there exists some overlap among these technologies, which are both competitive and complementary. This article makes a comparison of the two standards, addressing the differences, similarities, and coexistence issues. Some research challenges are described, such as quality of service, security, energy-saving methods and protocols for network formation, routing, and scheduling.

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