scholarly journals Investigation of Uncoordinated Coexisting IEEE 802.15.4 Networks with Sleep Mode for Machine-to-Machine Communications

2012 ◽  
Vol 8 (7) ◽  
pp. 940302
Author(s):  
Chao Ma ◽  
Jianhua He ◽  
Zuoyin Tang ◽  
Wenyang Guan ◽  
Yue Li
Keyword(s):  
Ieee 802.15.4 ◽  
Sleep Mode ◽  
Machine To Machine

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

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 Energy Analysis of Contention Tree-Based Access Protocols in Dense Machine-to-Machine Area Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Francisco Vázquez-Gallego ◽  
Luis Alonso ◽  
Jesus Alonso-Zarate
Keyword(s):  
Ieee 802.15.4 ◽  
Theoretical Models ◽  
Energy Performance ◽  
High Energy ◽  
Area Network ◽  
Medium Access ◽  
Splitting Algorithm ◽  
Machine To Machine ◽  
Computer Based ◽  
Energy Constrained

Machine-to-Machine (M2M) area networks aim at connecting an M2M gateway with a large number of energy-constrained devices that must operate autonomously for years. Therefore, attaining high energy efficiency is essential in the deployment of M2M networks. In this paper, we consider a dense M2M area network composed of hundreds or thousands of devices that periodically transmit data upon request from a gateway or coordinator. We theoretically analyse the devices’ energy consumption using two Medium Access Control (MAC) protocols which are based on a tree-splitting algorithm to resolve collisions among devices: the Contention Tree Algorithm (CTA) and the Distributed Queuing (DQ) access. We have carried out computer-based simulations to validate the accuracy of the theoretical models and to compare the energy performance using DQ, CTA, and Frame Slotted-ALOHA (FSA) in M2M area networks with devices in compliance with the IEEE 802.15.4 physical layer. Results show that the performance of DQ is totally independent of the number of contending devices, and it can reduce the energy consumed per device in more than 35% with respect to CTA and in more than 80% with respect to FSA.

scholarly journals Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

2020 ◽  
Author(s):  
Costas Michaelides ◽  
Foteini-Niovi Pavlidou
Keyword(s):  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Mutual Aid ◽  
Neighboring Node ◽  
Data Packets ◽  
Critical Data ◽  
Timely Delivery

A large number of wireless sensor nodes in a certain area results in high contention. Inevitably, the transmissions of any possible critical data packets may fail due to collisions. In this article, we introduce an aspect of human intelligence in wireless sensor networks, influenced by cooperative networking, which enhances the timely delivery of critical data. Mutual aid among sensors (MAAS), is an emergency out-of-the-box medium access control (MAC) function for IEEE 802.15.4-2020. Specifically, the network coordinator detects critical data packets and sets an emergency flag to its next beacon, to inform the nodes that they may overhear data packets. When a node overhears a critical data packet from a neighboring node it switches to sleep mode and stays idle until the end of the superframe. Thus, interference is mitigated locally and temporarily. Simulation results, using the CC2650 radio parameters in OMNeT++, show that interference is reduced significantly, in favor of the timely delivery of critical data packets.

An Energy-Efficient Sleep Mode in IEEE 802.15.4 by Considering Sensor Device Mobility

2012 ◽  
Vol E95.B (6) ◽  
pp. 2117-2120
Author(s):  
Jinho KIM ◽  
Jun LEE ◽  
Choong Seon HONG ◽  
Sungwon LEE
Keyword(s):  
Energy Efficient ◽  
Ieee 802.15.4 ◽  
Sleep Mode ◽  
Sensor Device

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

Uncoordinated coexisting IEEE 802.15.4 networks for machine to machine communications

2012 ◽  
Vol 7 (3) ◽  
pp. 274-284 ◽  
Author(s):  
Chao Ma ◽  
Jianhua He ◽  
Hsiao-Hwa Chen ◽  
Zuoyin Tang
Keyword(s):  
Ieee 802.15.4 ◽  
Machine To Machine

scholarly journals Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

2020 ◽  
Author(s):  
Costas Michaelides ◽  
Foteini-Niovi Pavlidou
Keyword(s):  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Mutual Aid ◽  
Neighboring Node ◽  
Data Packets ◽  
Critical Data ◽  
Timely Delivery

A large number of wireless sensor nodes in a certain area results in high contention. Inevitably, the transmissions of any possible critical data packets may fail due to collisions. In this article, we introduce an aspect of human intelligence in wireless sensor networks, influenced by cooperative networking, which enhances the timely delivery of critical data. Mutual aid among sensors (MAAS), is an emergency out-of-the-box medium access control (MAC) function for IEEE 802.15.4-2020. Specifically, the network coordinator detects critical data packets and sets an emergency flag to its next beacon, to inform the nodes that they may overhear data packets. When a node overhears a critical data packet from a neighboring node it switches to sleep mode and stays idle until the end of the superframe. Thus, interference is mitigated locally and temporarily. Simulation results, using the CC2650 radio parameters in OMNeT++, show that interference is reduced significantly, in favor of the timely delivery of critical data packets.

Sign in / Sign up

Export Citation Format

Share Document