A Low Cost Wireless Sensors Network with Low-Complexity and Fast-Prototyping

2011 ◽  
pp. 1021-1038
Author(s):  
João Paulo Carmo ◽  
José H. Correia
Keyword(s):  
Wireless Sensors ◽  
Performance Metrics ◽  
Low Cost ◽  
Low Complexity ◽  
Wireless Sensor ◽  
Test Bed ◽  
Power Budget ◽  
Radio System ◽  
Wireless Sensors Network ◽  
Wireless Sensors Networks

This chapter cover the following topics: • the focus and application of the wireless sensor network; • the implications of the radio system; • the test bed implementation of the proposed low cost wireless sensors networks; • the wireless link power budget, coding and data recovering; • performance metrics of the wireless sensors networks; • cost analysis versus other technologies (wired and emerging wireless).

scholarly journals A Low-Cost Jamming Detection Approach Using Performance Metrics in Cluster-Based Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1179
Author(s):  
Carolina Del-Valle-Soto ◽  
Carlos Mex-Perera ◽  
Juan Arturo Nolazco-Flores ◽  
Alma Rodríguez ◽  
Julio C. Rosas-Caro ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Performance Metrics ◽  
Low Cost ◽  
Detection Algorithm ◽  
Anomalous Behavior ◽  
Wireless Sensor ◽  
Jamming Detection ◽  
Minimal Energy Expenditure

Wireless Sensor Networks constitute an important part of the Internet of Things, and in a similar way to other wireless technologies, seek competitiveness concerning savings in energy consumption and information availability. These devices (sensors) are typically battery operated and distributed throughout a scenario of particular interest. However, they are prone to interference attacks which we know as jamming. The detection of anomalous behavior in the network is a subject of study where the routing protocol and the nodes increase power consumption, which is detrimental to the network’s performance. In this work, a simple jamming detection algorithm is proposed based on an exhaustive study of performance metrics related to the routing protocol and a significant impact on node energy. With this approach, the proposed algorithm detects areas of affected nodes with minimal energy expenditure. Detection is evaluated for four known cluster-based protocols: PEGASIS, TEEN, LEACH, and HPAR. The experiments analyze the protocols’ performance through the metrics chosen for a jamming detection algorithm. Finally, we conducted real experimentation with the best performing wireless protocols currently used, such as Zigbee and LoRa.

How Much Energy Needs for Running Energy Harvesting Powered Wireless Sensor Node?

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Fariborz Entezami ◽  
Meiling Zhu ◽  
Christos Politis
Keyword(s):  
Life Cycle ◽  
Energy Harvesting ◽  
Power Consumption ◽  
Wireless Sensors ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Test Bed ◽  
Limited Energy ◽  
Energy Needs

AbstractThere is a big challenge for research and industrial engineers to apply energy harvesting powered wireless sensors for practical applications. This is because wireless sensors is very power hungry while current energy harvesting systems can only harvest very limited energy from the ambient environment. In order for wireless sensors to be operated based on the limited energy harvested, understanding of power consumption of wireless sensors is the first task for implementation of energy harvesting powered wireless sensors systems. In this research an energy consumption model has been introduced for wireless sensor nodes and the power consumption in the life cycle of wireless communication sensors, consisting of JN5148 microcontroller and custom built sensors: a 3-axial accelerometer, a temperature sensor and a light sensor, has been studied. All measurements are based on a custom-built test bed. The power required carrying out a life cycle of wireless sensing and transmission is analysed. This paper describes how to analyse the current consumption of the system in active mode and thus power Consumption for sleeping and deployed sensors mode. The results show how much energy needs to run the energy harvesting powered wireless sensor node with JN5148 microcontroller.

scholarly journals Remote monitoring of an object using a wireless sensor network based on NODEMCU ESP8266

2019 ◽  
Vol 16 (3) ◽  
pp. 1154
Author(s):  
Hicham Ouldzira ◽  
Ahmed Mouhsen ◽  
Hajar Lagraini ◽  
Mostafa Chhiba ◽  
Abdelmoumen Tabyaoui ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Wireless Sensors ◽  
Smart Cities ◽  
Low Cost ◽  
Effective Means ◽  
Access Point ◽  
Wireless Sensor ◽  
Ecosystem Monitoring ◽  
Mobile Access ◽  
Remote Surveillance

<p>In recent years, wireless sensors networks (WSNs) have been imposed as an effective means of interconnection with simultaneous communication and information processing. They allow operating with sensors at low cost and low power consumption in various application areas such as ecosystem monitoring, detection and monitoring of objects and smart cities, etc.This paper describes the development of a system to detect the presence of an object and monitor it. This prototype is based on four NodeMcu modules (a static access point that provides the WIFI network, a server, a client and a mobile access point attached to the remote surveillance object) programmed under Arduino IDE and communicating between them via the HTTP protocol. The remote monitoring of the object for a linear disposition of the nodes used is based on the existence of the mobile access point in the HTTP client field.</p>

Enhanced Approaches for Processing Window Queries in Dynamic Wireless Sensor Networks

2011 ◽  
Vol 58-60 ◽  
pp. 2122-2127
Author(s):  
Ning Han Liu ◽  
Hsiang Ming Hsu ◽  
Tien Cheng Huang
Keyword(s):  
Wireless Sensors ◽  
Low Cost ◽  
Energy Resource ◽  
Home Healthcare ◽  
Wireless Sensor ◽  
Location Tracking ◽  
Redundant Data ◽  
Aggregation Functions ◽  
Routing Tables ◽  
Window Queries

Due to the proliferation of low cost wireless sensors, there is growing research interest in their applications, for example, in home healthcare and location tracking. However, due to sensors’ energy resource constraint, some possible applications of sensors have been restricted. In particular, in applications concerning deployment of mobile sensors in dynamic environments, high amounts of energy are consumed by sensors to maintain routing tables. Although existing methods have been proposed to query data from sensors without the use of any routing tables, these methods typically require redundant data to be sent back to the sink and not all of the aggregation functions could be executed precisely. In this paper, we modify an existing method to provide more accurate query answers and extend the lifetime of a wireless sensor network (WSN). According to our simulation, this method outperforms the existing method our approach modifies.

Remote Detection of Soil Humidity Based on Wireless Sensor Network

2012 ◽  
Vol 466-467 ◽  
pp. 132-136
Author(s):  
Hua Long Fan ◽  
De Quan Zhou
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensors ◽  
Remote Detection ◽  
Wireless Sensor ◽  
Soil Parameters ◽  
Soil Humidity ◽  
Modern Agriculture ◽  
Humidity Measurements ◽  
Wireless Sensors Network

Soil humidity is considered as one of important soil parameters and is already used widely in agriculture information system. The measurement of the soil humidity, characterized by accuracy and continuity, can help build useful information systems for modern agriculture. Remote detection of soil humidity can be achieved easily by using wireless sensors network (WSN). In this paper, a way to build an automatic irrigating system taking advantage of humidity measurements, which is obtained based on Wireless Sensor Network, is proposed. That how the humidity is detected and how the WSN is constructed is discussed. Furthermore, the connection of hardware devices and the programs of software is described.

scholarly journals REVIEW OF ENERGY MINIMIZATION TECHNIQUES IN WIRELESS SENSORS NETWORK

2020 ◽  
Vol 5 (2) ◽  
pp. 51-61
Author(s):  
Basantilal Mubel ◽  
Dr. Sachin Goyal ◽  
Dr. Ratish Agrawal
Keyword(s):  
Energy Minimization ◽  
Wireless Sensors ◽  
Social Engineering ◽  
Energy Utilization ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Success Story ◽  
Wireless Sensors Network ◽  
Maximum Utilization ◽  
Technology Trends

The current decade of technology trends adopted the utilization of wireless sensors network. The wireless sensors network integrates with cloud based services and facilitate in every field of social engineering. The success story of sensors based network is utilization of energy. The sensor devices occupied tiny battery for energy. If the energy utilization is not maintained the life of network is expire.  In this paper present the review of energy based protocol used in wireless sensor network. The maximum utilization of energy during the sensing of data of sensors node. Some authors used dual duty cycle for the sensing of sensor data and transmit data to sink node.

scholarly journals Economical Smart Agriculture Monitoring System

2019 ◽  
Vol 8 (2) ◽  
pp. 3669-3671 ◽  
Keyword(s):  
Wireless Sensor Networks ◽  
Soil Moisture ◽  
Internet Of Things ◽  
Wireless Sensors ◽  
Low Cost ◽  
Wireless Sensor ◽  
Site Specific ◽  
Smart Farming ◽  
Standard Information ◽  
Smart Agriculture

In recent times, where technology is playing major role in all the aspects of our life ,farming which is majorly affected by various environmental fators need enhanced ways in order to improve the yeild of crops. In this paper we have discussed the use of IoT technology to help the farmers detect the favourable envornmental conditions such as temperature, humidity, soil moisture and water level with the help of various sensor implemntation . The system will compare the information collected from hardware module with the standard information stored for each seed in database and provide details of the seeds that will be appropriate to be cultivated under the environmental conditions that are obtained from the wireless sensors. Nowadays, the emerging Internet of Things (IoT) along with Wireless Sensor Networks (WSNs) with their low-cost sensors and new opportunities provide a more precise, site-specific, and sustainable agriculture in the context of Smart Farming.

L2OR: Low-Cost Low-Complexity Opportunistic Routing for Wireless Sensor Networks

2014 ◽  
Vol 82 (1) ◽  
pp. 401-422 ◽  
Author(s):  
Hang Shen ◽  
Guangwei Bai ◽  
Lu Zhao ◽  
Jinfeng Ge ◽  
Zhenmin Tang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Cost ◽  
Low Complexity ◽  
Opportunistic Routing ◽  
Wireless Sensor

The Design of Speed Detector Based on Wireless Sensor Network

2013 ◽  
Vol 457-458 ◽  
pp. 1074-1081
Author(s):  
Xiang Hong Kong ◽  
Yang Xue Guo ◽  
Zhi Fei Hu ◽  
Wei Guo Qian ◽  
Ke Xiang Lu ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Transit Time ◽  
High Speed ◽  
Low Cost ◽  
Low Complexity ◽  
Small Error ◽  
Wireless Sensor ◽  
Single Chip ◽  
Ultrasound Velocimetry

An ultrasound velocimetry system based on single-chip CC2530 was designed, this combined the transit-time velocimetry and Doppler velocimetry, achieving the monitoring of wireless sensor network to the speed of the car. The Proteus software simulates the hardware circuits of the ultrasonic transmitter and receiver module. An ultrasound velocimetry system measures high-speed by the ultrasonic Doppler principle, it measures low-speed through the transit-time principle, the speedometer system was verified by the simulation technology. The design has a low complexity, low power, low cost, small error, application and so on.

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