Incremental Sensor Node Deployment for Low Cost and Highly Available WSNs

Now a day wireless sensor networks (WSNs) is an essential unit of the internet of things (IoT). IoT theater a vital role in real-time applications which is more useful in real life. Due to its small price and potential use, WSNs have shown importance in different applications over the past year. Health concerns, environmental observation, human protection, military operations, surveillance systems, etc. WSNs have a small device called a sensor node (SN) that has a limited battery. IoT based WSNs consume more energy in sensor node communication. Therefore a Novel energy-efficient sensor node deployment scheme for two-stage routing protocol (EE- DSTRP) has been proposed to reduce the energy consumption of sensor nodes and extend the lifetime of the network. Sensor node deployment is a novel approach based on the golden ratio. All traditional protocols divide network zones for communication. No existing protocols tell about the sensor node deployment ratio in each zone. The deployment method is an important factor in reducing the energy usage of a network. To validate its efficiency, in this article, simulation results prove that the proposed IoT based EE-DSTRP protocol is superior to other existing protocols.

Download Full-text

A Novel Heterogeneous Wireless Sensor Node Deployment Algorithm With Parameter-Free Configuration

IEEE Access ◽

10.1109/access.2018.2865279 ◽

2018 ◽

Vol 6 ◽

pp. 44951-44969 ◽

Cited By ~ 1

Author(s):

Rungrote Kuawattanaphan ◽

Paskorn Champrasert ◽

Somrawee Aramkul

Keyword(s):

Sensor Node ◽

Wireless Sensor ◽

Wireless Sensor Node ◽

Node Deployment

Download Full-text

Qualitative Survey on Sensor Node Deployment, Load Balancing and Energy Utilization in Sensor Network

Nature Inspired Computing for Wireless Sensor Networks - Springer Tracts in Nature-Inspired Computing ◽

10.1007/978-981-15-2125-6_11 ◽

2020 ◽

pp. 259-277

Author(s):

Ayan Kumar Panja ◽

Arka Ghosh

Keyword(s):

Load Balancing ◽

Sensor Network ◽

Sensor Node ◽

Energy Utilization ◽

Node Deployment ◽

Qualitative Survey

Download Full-text

Impact of Duty-Cycling

Sensor Technology ◽

10.4018/978-1-7998-2454-1.ch073 ◽

2020 ◽

pp. 1557-1579

Author(s):

Nassima Bouadem ◽

Rahim Kacimi ◽

Abdelkamel Tari

Keyword(s):

Sensor Node ◽

Low Cost ◽

Research Topic ◽

Wireless Sensor ◽

Energy Availability ◽

Duty Cycling ◽

Save Energy ◽

Fruitful Research ◽

The Impact

Wireless Sensor Networks (WSNs) became omnipresent in our daily life. As a result, they have emerged as a fruitful research topic, because of their advantages, especially their low cost and easy deployment. However, these attractive merits imply that available resources, especially energy, in each sensor node have to be wisely used through different network dynamics. Beside other techniques, duty-cycling (DC) is the first widely used one to save energy in WSNs. However, due to the continuous changes, mainly in the energy availability, the nodes have to operate in a very low DC which is a required strategy in many applications in order to keep the network operational. This article presents a detailed survey that provides an interesting view of different DC schemes which are proposed to tackle the specific WSN challenges, and it also gives a novel classification of DC schemes that includes the most recent techniques. The last part aims to investigate the impact of the low DC on both the network and the application layer.

Download Full-text

Micro air vehicles energy transportation for a wireless power transfer system

International Journal of Micro Air Vehicles ◽

10.1177/1756829319870057 ◽

2019 ◽

Vol 11 ◽

pp. 175682931987005

Author(s):

Jose Polo ◽

Lluís Hontecillas ◽

Ignacio Izquierdo ◽

Oscar Casas

Keyword(s):

Temperature Sensor ◽

Sensor Node ◽

Low Cost ◽

Wireless Power Transfer ◽

Micro Air Vehicles ◽

Power Transfer ◽

Wireless Power ◽

Inductive System ◽

Energy Transportation ◽

Air Vehicles

The aim of this work is to demonstrate the feasibility use of an Micro air vehicles (MAV) in order to power wirelessly an electric system, for example, a sensor network, using low-cost and open-source elements. To achieve this objective, an inductive system has been modelled and validated to power wirelessly a sensor node using a Crazyflie 2.0 as MAV. The design of the inductive system must be small and light enough to fulfil the requirements of the Crazyflie. An inductive model based on two resonant coils is presented. Several coils are defined to be tested using the most suitable resonant configuration. Measurements are performed to validate the model and to select the most suitable coil. While attempting to minimize the weight at transmitter’s side, on the receiver side it is intended to efficiently acquire and manage the power obtained from the transmitter. In order to prove its feasibility, a temperature sensor node is used as demonstrator. The experiment results show successfully energy transportation by MAV, and wireless power transfer for the resonant configuration, being able to completely charge the node battery and to power the temperature sensor.

Download Full-text

MEGAN: Multipurpose Energy-Efficient, Adaptable, and Low-Cost Wireless Sensor Node for the Internet of Things

IEEE Systems Journal ◽

10.1109/jsyst.2019.2920099 ◽

2020 ◽

Vol 14 (1) ◽

pp. 144-151 ◽

Cited By ~ 5

Author(s):

Sudip Misra ◽

Sanku Kumar Roy ◽

Arijit Roy ◽

Mohammad S. Obaidat ◽

Avantika Jha

Keyword(s):

Internet Of Things ◽

Energy Efficient ◽

Sensor Node ◽

Low Cost ◽

Wireless Sensor ◽

The Internet ◽

Wireless Sensor Node ◽

The Internet Of Things

Download Full-text

Wireless Sensor Node Deployment Research

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.503-504.1514 ◽

2012 ◽

Vol 503-504 ◽

pp. 1514-1517

Author(s):

Hai Shen Peng

Keyword(s):

Wireless Sensor Network ◽

Data Collection ◽

Sensor Network ◽

Energy Management ◽

Sensor Node ◽

Wireless Sensor ◽

Wireless Sensor Node ◽

Node Deployment ◽

Gathering Data

In view of static wireless sensor node deployment efficiency low and dynamic wireless sensor node deployment non-uniform question, proposed based on a sensation environment object minute bunch with the motion proxy node gathering data method, effectively solves wireless sensor node deployment energy management and data collection and so on crucial the technical difficult problems, thus enhances the wireless sensor network the application value

Download Full-text

Autonomous Sensor Node Powered by CM-Scale Benthic Microbial Fuel Cell and Low-Cost and Off-the-Shelf Components

Energy Harvesting and Systems ◽

10.1515/ehs-2015-0030 ◽

2016 ◽

Vol 3 (3) ◽

Cited By ~ 5

Author(s):

T. Chailloux ◽

A. Capitaine ◽

B. Erable ◽

G. Pillonnet

Keyword(s):

Fuel Cells ◽

Fuel Cell ◽

Microbial Fuel Cell ◽

Power Management ◽

Microbial Fuel Cells ◽

Sensor Node ◽

Low Cost ◽

Aquatic Environments ◽

Energy Harvesters ◽

Autonomous Sensor

AbstractMicrobial fuel cells (MFC’s) are promising energy harvesters to constantly supply energy to sensors deployed in aquatic environments where solar, thermal and vibration sources are inadequate. In order to show the ready-to-use MFC potential as energy scavengers, this paper presents the association of a durable benthic MFC with a few dollars of commercially-available power management units (PMU’s) dedicated to other kinds of harvesters. With 20 cm

Download Full-text