scholarly journals GPRS Sensor Node Battery Life Span Prediction Based on Received Signal Quality: Experimental Study

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 524
Author(s):  
Joseph Habiyaremye ◽  
Marco Zennaro ◽  
Chomora Mikeka ◽  
Emmanuel Masabo ◽  
Santhi Kumaran ◽  
...  
Keyword(s):  
Power Consumption ◽  
Sensor Node ◽  
Communication Technologies ◽  
Sensor Nodes ◽  
Battery Life ◽  
Signal Quality ◽  
Battery Lifetime ◽  
Current Consumption ◽  
Research Outcome ◽  
Good Plan

Nowadays with the evolution of Internet of Things (IoT), building a network of sensors for measuring data from remote locations requires a good plan considering a lot of parameters including power consumption. A Lot of communication technologies such as WIFI, Bluetooth, Zigbee, Lora, Sigfox, and GSM/GPRS are being used based on the application and this application will have some requirements such as communication range, power consumption, and detail about data to be transmitted. In some places, especially the hilly area like Rwanda and where GSM connectivity is already covered, GSM/GPRS may be the best choice for IoT applications. Energy consumption is a big challenge in sensor nodes which are specially supplied by batteries as the lifetime of the node and network depends on the state of charge of the battery. In this paper, we are focusing on static sensor nodes communicating using the GPRS protocol. We acquired current consumption for the sensor node in different locations with their corresponding received signal quality and we tried to experimentally find a mathematical data-driven model for estimating the GSM/GPRS sensor node battery lifetime using the received signal strength indicator (RSSI). This research outcome will help to predict GPRS sensor node life, replacement intervals, and dynamic handover which will in turn provide uninterrupted data service. This model can be deployed in various remote WSN and IoT based applications like forests, volcano, etc. Our research has shown convincing results like when there is a reduction of −30 dBm in RSSI, the current consumption of the radio unit of the node will double.

Thermoelectric Powered Autonomous Wireless Sensor Module for Temperature Monitoring

2011 ◽  
Vol 63-64 ◽  
pp. 978-982 ◽  
Author(s):  
Wen Si Wang ◽  
Ning Ning Wang ◽  
Michael Hayes ◽  
Brendan O'Flynn ◽  
Cian O'Mathuna
Keyword(s):  
Sensor Networks ◽  
Sensor Node ◽  
Energy Harvester ◽  
Electrical Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Wireless Sensor Node ◽  
Battery Lifetime ◽  
Sensor Module

Wireless sensor networks are frequently used to monitor temperature and other manufacturing parameters in recent years. However, the limited battery life posts a constraint for large sensor networks. In this work, thermoelectric energy harvester is designed to effectively convert the heat into electrical energy to power the wireless sensor node. Bismuth telluride thermoelectric modules are optimized for low temperature conditions. Charge pump and switching regulator based power management module is designed to efficiently step up the 500mV thermoelectric voltage to 3.0V level for wireless sensor nodes. This design employs electric double-layer capacitor based energy storage with considerations on practical wireless sensor node operation. The implemented energy harvester prototype is proposed for Tyndall wireless sensor system to monitor temperature and relative humidity in manufacturing process. The prototype was tested in various conditions to discover the issues in this practical design. The proposed prototype can expect a 15 years operative lifetime instead of the 3-6 months battery lifetime.

Optimizing Power Consumption for the Wireless Sensor Node

2015 ◽  
Vol 738-739 ◽  
pp. 107-110
Author(s):  
Hui Lin
Keyword(s):  
Power Consumption ◽  
Radio Frequency ◽  
Power Saving ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Cycle Times ◽  
Current Consumption ◽  
Saving Effect

A Wireless Sensor Network is composed of sensor nodes powered by batteries. Thus, power consumption is the major challenge. In spite of so many research works discussing this issue from the aspects of network optimization and system design, so far not so many focus on optimizing power consumption of the Radio Frequency device, which consumes most of the energy. This paper describes the digital features of the Radio Frequency device used to optimize current consumption, and presents a practical approach to measure current consumption in static and dynamic scenarios in details, by which we evaluates the power saving effect. The results demonstrated that according to cycle times and application characteristics choosing appropriate features can prolong the lifetime of wireless sensor nodes.

scholarly journals An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7613
Author(s):  
Dominik Widhalm ◽  
Karl M. Goeschka ◽  
Wolfgang Kastner
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Open Source ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Active Node ◽  
Data Distortion ◽  
Monitoring Applications

In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.

Architecture Exploration Based on Tasks Partitioning Between Hardware, Software and Locality for a Wireless Vision Sensor Node

2012 ◽  
Vol 3 (2) ◽  
pp. 58-71 ◽  
Author(s):  
Muhammad Imran ◽  
Khursheed Khursheed ◽  
Abdul Waheed Malik ◽  
Naeem Ahmad ◽  
Mattias O’Nils ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Sensor Node ◽  
High Energy ◽  
Sensor Nodes ◽  
Vision Sensor ◽  
Visual Sensor ◽  
Battery Lifetime ◽  
Processing Strategies ◽  
Reconfigurable Platform

Wireless Vision Sensor Networks (WVSNs) is an emerging field which consists of a number of Visual Sensor Nodes (VSNs). Compared to traditional sensor networks, WVSNs operates on two dimensional data, which requires high bandwidth and high energy consumption. In order to minimize the energy consumption, the focus is on finding energy efficient and programmable architectures for the VSN by partitioning the vision tasks among hardware (FPGA), software (Micro-controller) and locality (sensor node or server). The energy consumption, cost and design time of different processing strategies is analyzed for the implementation of VSN. Moreover, the processing energy and communication energy consumption of VSN is investigated in order to maximize the lifetime. Results show that by introducing a reconfigurable platform such as FPGA with small static power consumption and by transmitting the compressed images after pixel based tasks from the VSN results in longer battery lifetime for the VSN.

scholarly journals Efficient Cluster Head Selection in WSN Using Secure Mobility Cluster Based Algorithm

2020 ◽  
Author(s):  
Sampoornam K P ◽  
Hemavikasini S ◽  
Vidhya S ◽  
Vakula V ◽  
Dharani S
Keyword(s):  
Sensor Node ◽  
Clustering Algorithms ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Lifetime ◽  
Military Applications ◽  
Major Application ◽  
Simulation Results

Wireless Sensor Networks (WSNs) are widely adopted by various civilian/military applications for implementing real-time monitoring or long-term surveillance task. Considering sensor nodes with mobility has emerged as a major application in environmental monitoring or surveillance. Due to the limited battery lifetime, the network in the deployed region is divided into clusters and the clusters are controlled by their Cluster Heads (CH). But selecting CH in WSNs (considering the network with both static and mobility nodes) is a challenging task because security is significant. To prevent the malicious sensor node from becoming CH, Secure Mobility Cluster Based Algorithm (SMCBA) is proposed. This algorithm considers only static node among mobility node for selecting CH with efficient parameters such as trust criteria, selection time and mobility. The simulation results show that the proposed algorithm works effectively compared with the existing clustering algorithms.

Design of Sensor Nodes based on Principles of LoRaPhy and LoRaWAN

2020 ◽  
Vol 9 (1) ◽  
pp. 15-30
Author(s):  
Maruti Muthu ◽  
Sanket Sunil Gore ◽  
Sarvesh Sandesh Sawant
Keyword(s):  
Spread Spectrum ◽  
Power Dissipation ◽  
Sensor Node ◽  
Primary Objective ◽  
Sensor Nodes ◽  
Battery Life ◽  
Long Distance ◽  
Communication Device ◽  
Shift Keying ◽  
Chirp Spread Spectrum

The idea of research is based on long distance low power wireless communication. The primary objective is to prolong the battery life of the communication device connected to the sensors. This is done by providing single gateway to multiple nodes. Conventionally in IoT (Internet of Things) applications, the sensors are interfaced with 3G/4G modules to push the data to the server directly. Hence, individual devices require more power to send data to the server. This would deteriorate the battery backup of the system and would increase the power dissipation. By using LORA node-gateway network, a group of sensors send data to a single gateway which requires less power compared to the conventional methods. This article provides insight about the LoRa sensor node design and enclosure setup. Chirp Spread Spectrum (CSS) or Frequency Shift Keying (FSK) modulation technique is used to encode the data that is to be sent to the server under this scheme. The data acquired at the gateway is formatted and forwarded to the server.

scholarly journals Energy Efficiency Analysis of LoRa and ZigBee Protocols in Wireless Sensor Networks

2021 ◽  
Vol 11 (4) ◽  
pp. 2836-2849
Author(s):  
K. Raghava Rao ◽  
D. Sateesh Kumar ◽  
Mohiddin Shaw ◽  
V. Sitamahalakshmi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Iot Applications

Now a days IoT technologies are emerging technology with wide range of applications. Wireless sensor networks (WSNs) are plays vital role in IoT technologies. Construction of wireless sensor node with low-power radio link and high-speed processors is an interesting contribution for wireless sensor networks and IoT applications. Most of WSNs are furnished with battery source that has limited lifetime. The maximum operations of these networks require more power utility. Nevertheless, improving network efficiency and lifetime is a curtail issue in WSNs. Designing a low powered wireless sensor networks is a major challenges in recent years, it is essential to model its efficiency and power consumption for different applications. This paper describes power consumption model based on LoRa and Zigbee protocols, allows wireless sensor nodes to monitor and measure power consumption in a cyclic sleeping scenario. Experiential results reveals that the designed LoRa wireless sensor nodes have the potential for real-world IoT application with due consideration of communicating distance, data packets, transmitting speed, and consumes low power as compared with Zigbee sensor nodes. The measured sleep intervals achieved lower power consumption in LoRa as compared with Zigbee. The uniqueness of this research work lies in the review of wireless sensor node optimization and power consumption of these two wireless sensor networks for IoT applications.

Evaluation of Energy Consumption of LPWAN Technologies

2021 ◽  
Author(s):  
Husam Rajab ◽  
Tibor Cinkler ◽  
Taoufik Bouguera
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Sensor Node ◽  
Minimum Energy ◽  
Sensor Nodes ◽  
Sleep Mode ◽  
Area Network ◽  
Wide Area Network ◽  
Battery Lifetime ◽  
Minimum Energy Consumption

Abstract The modern technological innovations provide small radios with ability to broadcast over vast areas with minimum energy consumption that will significantly influence the future of the Internet of Things (IoT) communications. The majority of IoT implementations demand sensor nodes run reliably for an extended time. Furthermore, the radio settings can endure a high data rate transmission while optimizing the energy-efficiency. The LoRa/LoRaWAN is one of the primary Low-Power Wide Area Network (LPWAN) technology that has highly enticed much concentration recently from the community. The energy limits is a significant issue in wireless sensor networks since battery lifetime that supplies sensor nodes have a restricted amount of energy and neither expendable nor rechargeable in most cases. A common hypothesis in previous work is that the energy consumed by sensors in sleep mode is negligible. With this hypothesis, the usual approach is to consider subsets of nodes that reach all the iterative targets. These subsets also called coverage sets, are then put in the active mode, considering the others are in the low-power or sleep mode. In this paper, we address this question by proposing an energy consumption model based on LoRa and LoRaWAN, that model optimizes the energy consumption of the sensor node for different tasks for a period of time. The proposed analytical approach permits considering the consumed power of every sensor node element; furthermore, it can be used to analyse different LoRaWAN modes to determine the most desirable sensor node design to reach its energy autonomy.

scholarly journals A REVIEW ON WIRELESS SENSOR NETWORK FOR ENERGY CONSUMPTION

2016 ◽  
Vol 2 (5) ◽  
Author(s):  
Shobha Kushwaha ◽  
Deepak Tomar ◽  
Kamlesh Chandravanshi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Storage ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Life ◽  
Battery Lifetime ◽  
Important Concern ◽  
Spatially Distributed

A wireless sensors network (WSNs) is a collection of a large number of small, spatially distributed, and autonomous devices. These devices are known as sensor nodes. The Advancement in wireless communication leads to develop wireless sensor networks (WSN). It consists of small devices. These devices amass information by coordinating with each other. These tiny devices are known as a sensor node which consists of CPU (for data processing), memory (for data storage), battery (for energy) and transceiver (for receiving and sending signals or information from one node to further). The use of WSN is increasing day by day and at the same instance facing quandary of energy constraints in terms of short battery lifetime. Every node depends on the battery resource for assorted activities; this has becoming a most important concern in wireless sensor networks .so in this paper we are providing issues allied to sink repositioning that help to augment battery life time and also we provided information related to various approach for energy competent wsns.

Sign in / Sign up

Export Citation Format

Share Document