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 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. 

An Advanced Wireless Sensor Networks Design for Energy-Efficient Applications Using Condition-Based Access Protocol

2021 ◽  
pp. 171-186
Author(s):  
Vijendra Babu D. ◽  
K. Nagi Reddy ◽  
K. Butchi Raju ◽  
A. Ratna Raju
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Network Throughput ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Medium Access ◽  
Access Protocol ◽  
Battery Lifetime

A modern wireless sensor and its development majorly depend on distributed condition maintenance protocol. The medium access and its computing have been handled by multi hope sensor mechanism. In this investigation, WSN networks maintenance is balanced through condition-based access (CBA) protocol. The CBA is most useful for real-time 4G and 5G communication to handle internet assistance devices. The following CBA mechanism is energy efficient to increase the battery lifetime. Due to sleep mode and backup mode mechanism, this protocol maintains its energy efficiency as well as network throughput. Finally, 76% of the energy consumption and 42.8% of the speed of operation have been attained using CBI WSN protocol.

Energy-Efficient Sleep Mode Adjustment Considering GoP Structure

2019 ◽  
Author(s):  
Meihua Jin ◽  
Ji-Young Jung ◽  
Dara Ron ◽  
Sengly Muy ◽  
Jung-Ryun Lee
Keyword(s):  
Energy Efficient ◽  
Sleep Mode

scholarly journals An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4192
Author(s):  
Leyuan Liu ◽  
Yibin Hou ◽  
Jian He ◽  
Jonathan Lungu ◽  
Ruihai Dong
Keyword(s):  
Energy Efficient ◽  
Short Term Memory ◽  
Fall Detection ◽  
The Elderly ◽  
Experimental Result ◽  
Sleep Mode ◽  
Detection Accuracy ◽  
Community Based ◽  
Care For The Elderly ◽  
Specificity And Sensitivity

A fall detection module is an important component of community-based care for the elderly to reduce their health risk. It requires the accuracy of detections as well as maintains energy saving. In order to meet the above requirements, a sensing module-integrated energy-efficient sensor was developed which can sense and cache the data of human activity in sleep mode, and an interrupt-driven algorithm is proposed to transmit the data to a server integrated with ZigBee. Secondly, a deep neural network for fall detection (FD-DNN) running on the server is carefully designed to detect falls accurately. FD-DNN, which combines the convolutional neural networks (CNN) with long short-term memory (LSTM) algorithms, was tested on both with online and offline datasets. The experimental result shows that it takes advantage of CNN and LSTM, and achieved 99.17% fall detection accuracy, while its specificity and sensitivity are 99.94% and 94.09%, respectively. Meanwhile, it has the characteristics of low power consumption.

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