Middleware Design for Energy Harvester of Wireless Sensor Nodes

2009 ◽  
Author(s):  
Zhenhuan Zhu ◽  
S. Olutunde Oyadiji ◽  
Samir Mekid
Keyword(s):  
Indoor Environment ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Output ◽  
Dynamic Power Management ◽  
Wireless Sensor Node ◽  
Power Requirement ◽  
Wireless Sensor Nodes ◽  
And Performance

The energy harvesting for wireless sensor nodes is one of the effective methods to extend the lifespan of wireless sensor networks. The paper firstly analyzes the power requirement of a sensor node, and surveys the energy output for typical energy transducers working indoor. In general, energy harvested from the indoor environment is not matched with the power requirement of wireless sensor nodes. The harvested energy indoor is generally less than the required energy. Therefore, we propose a solution to design a middleware for the dynamic power management of a wireless sensor node. The implementation and performance evaluation of the middleware are investigated. It is shown that the proposed middleware is an effective way of solving the challenge problem above.

Design of a Wireless Sensor Network Node Based on STM32

2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Node ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Communication Module ◽  
Design Factors

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.

scholarly journals Concurrent Data Message Transmissions for Interference of Illegal Overhearing in Wireless Sensor Networks

2018 ◽  
Vol 210 ◽  
pp. 03011
Author(s):  
Masahiro Okuri ◽  
Hiroaki Higaki
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Wireless Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Range ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Wireless Nodes

In wireless sensor networks, data messages containing sensor data achieved by a sensor module in a wireless sensor node is transmitted to a stationary wireless sink node along a wireless multihop transmission route in which wireless sensor nodes themselves forward the data messages. Each intermediate wireless sensor node broadcast data messages in its wireless transmission range to forward them to its next-hop intermediate wireless sensor node. Hence, eavesdropper wireless nodes within the wireless transmission range easily overhear the data messages. In order to interfere with the eavesdropper wireless nodes illegally overhearing the data messages in transmission, wireless sensor nodes whose wireless transmission ranges overlap and their next-hop intermediate wireless sensor nodes are out of the wireless transmission ranges each other forward data messages in transmission concurrently and cause collisions between these two data messages at any possible eavesdropper wireless nodes intentionally. To enhance regions where concurrently forwarded data messages intentionally collide to prevent their overhearing and to realize concurrent forwarding of data messages, this paper designes an algorithm for TDMA transmission slot assignments for more opportunities to interfere the eavesdropper wireless nodes.

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.

scholarly journals Development of Wireless Sensor Node Addressing and Data Packet Collision Avoidance Scheme

2019 ◽  
Vol 8 (2S6) ◽  
pp. 803-807
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Packet Collision ◽  
Autonomous Sensor ◽  
Spatially Distributed

Wireless sensor network (WSN) consists of autonomous sensor devices that are spatially distributed in a wide area. Wireless sensor network is built up from a large number of sensor nodes that are assigned to a specific tasks and most probably is monitoring and reporting tasks. However, since the network might be expanded to hundreds, thousands or even millions of sensor nodes, there will be a high chance for the data from different wireless sensor nodes to collide with one another. Therefore, a proper node addressing scheme is needed to synchronize the data packages transmissions to the sink station. In this paper, a seven bytes addressing string scheme is proposed to encapsulate the node data and assist the sink station in identifying the data packages sources. The addressing string will be created in the wireless sensor node which it contains the node ID, package ID and the node data as well. The package ID is included to detect collided packages within the network. The data packages collision is avoided by allowing the sensor node to access the RF channel and transmit the data at a random time. The experimental results reviled that the proposed scheme was successfully addressed the wireless sensor node and make node identification at the sink station easy.

scholarly journals A Novel Protocol to Provide Authentication and Privacy in WSN

2019 ◽  
Vol 8 (9S4) ◽  
pp. 264-266
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Node ◽  
Authentication Protocol ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Privacy Requirements ◽  
Radio Signals ◽  
Safety Features

A wireless sensor network holds a large amount of nodes. These nodes will contact themselves by utilizing some of the radio signals. wireless sensor networks (WSNs) has develop some applications during a huge selection areas, in the time of which external side users ought to straightly attach with sensors to get a perceived information. But, WSNs (wireless sensor node) are open to numerous attacks for wireless links, like eavesdropping and meddling. Two-factor authentication combining password and ID utterly like this demand due to password and ID usefulness. Then, a bucket of two-factor authentication protocol was advised in present research works. Because of the difficult assignment of adjustable potency and privacy requirements, still it’s difficult to introduce a privacyaware two-factor protocol that's potential of giving different safety features whereas take care of proper potency. in this paper the proposed work tend to suggests a privacy aware two-factor authentication protocol depend on ECC for wireless sensor nodes(WSNs). In this another convention performs distinctive wellbeing highlights need fully for the application situations, all things considered, though deal with appropriate power. So in this we will in general demonstrate that the presented convention accomplishes intelligent in the Burrows–Abadi– Needham judgment to boot, through manner of unofficial security statistics, the work show the introduced protocol will face up to a range of attacks and supply fascinating safety features.

scholarly journals Wireless Sensor Networks for Indoor Environment Monitoring Using LabVIEW

2011 ◽  
pp. 87-90
Author(s):  
Mrutyunjay Rout ◽  
Dr. Harish Kumar Verma ◽  
Subhashree Das
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Indoor Environment ◽  
Environmental Parameters ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Wireless Sensor Nodes ◽  
Local Decision ◽  
Mems Technology

Wireless sensor networks (WSNs) have gained worldwide attention in recent years, particularly with the rapid progress in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are small, with limited processing and computing resources, and they are inexpensive compared to traditional sensors. These sensor nodes can sense, measure, and gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user. WSNs are large networks made of a numerous number of sensor nodes with sensing, computation, and wireless communication capabilities. In present work we provide a brief summary of the state-ofthe- art in wireless sensor networks, investigate the feasibility of indoor environment monitoring using crossbow wireless sensor nodes. Here we used nesC programming language and TinyOS operating system for programming Crossbow sensor nodes and LabVIEW GUI is used for displaying different indoor environmental parameters such as temperature, humidity and light acquired from different Wireless sensor nodes. These sensor readings can help building administrators to monitor the physical conditions of the environment in a building for creating optimized energy usage.

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.

Mobile Nodes Deployment Scheme Design Based on Perceived Probability Model in Heterogeneous Wireless Sensor Network

2014 ◽  
Vol 26 (5) ◽  
pp. 616-621 ◽  
Author(s):  
Ningning Wu ◽  
◽  
Juwei Zhang ◽  
Qiangyi Li ◽  
Shiwei Li ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Probability Model ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Network Nodes ◽  
Heterogeneous Wireless Sensor Network ◽  
Perceived Probability

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260005/10.jpg"" width=""200"" /> Nodes moving direction in our scheme</div> Wireless sensor network nodes deployment optimization problem is studied and wireless sensor nodes deployment determines its capability and lifetime. The nodes deployment scheme based on the perceived probability model aiming at wireless sensor network nodes which are randomly deployed is designed. The scheme can be used to calculate the perceived probability in the area around wireless sensor network nodes and move the wireless sensor nodes to the low perceived probability area according to the current energy of the wireless sensor node. The simulation results show that this deployment scheme achieves the goal of the nodes reasonable distribution by improving the network coverage and reducing the nodes movement distance and energy consumption. </span>

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