Online ISSN: 2515-8260

Keywords : wireless sensor network


Temperature Gradient Measuring System Development Using Wireless Sensor Networks For Detection Of Ambient Air And Soil

Ramizi MOHAMED; Heng Joe KEEN; Khalil Azha MOHD ANNUAR; Nor Azwan MOHAMED KAMARI

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 2, Pages 111-123

This paper proposes a concept utilizing a thermoelectric generator (TEG) device
to convert thermal energy different between ambient air and soil into electrical power. In
this study, soil temperature profile with three various depths has been studied to find the
optimum depth for maximum temperature differences between ambient air and the soil. The
study area coverage is at the lake nearby Universiti Kebangsaan Malaysia (UKM), Bangi
Malaysia. After the temperature data collected, the efficiency of TEG with different
configurations was tested in the lab. Then, energy storage devices and buck-booster are
used to further enhance the capabilities of TEG. All the models are then integrated and
tested to power up electronics load according to the temperature profile collected. The
results have proposed the depth of soil 20 cm will provide an optimal average temperature
different of 3.34 0C. Based on the temperature gradient data, combination of four TEG
TEP-12656 in a series connection with DC booster circuitDC1587 will produce an optimum
voltage output about 3 V. This output voltage is enough to fully charges small storage
system such as super capacitors 10 F in 6.58 minutes. Arduino Uno was used as a load and
it was successfully powered up for a short duration of time before energy fully depleted.

Dynamic Transmission Range with Respect to the Power Consumption

J. Madhusudan; Somnath Sinha

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 5090-5098

This article looks at the impact of transmitting capacity on mobile ad hoc network efficiency (MANET)). The purpose of this study is to determine whether the life of the network can be extended by using less energy, thus obtaining a more energy-efficient 'green' architecture. A total of 72 separate simulations with various configurations representing a range of potential scenarios were performed: we analysed configurations of specific node numbers, amount of traffic flows, mobility models, transmission capacity and geographic region. The results show that there is the best transmission power that can improve the performance of the network: this optimal transmission setting also makes the network more energy-efficient in terms of the limited energy exhaustion of the node. Our overall findings also suggest that higher power transmission will common energy consumption.

Health Perspective Of Emergency Accident Evacuation System: A Cloud, Iot, And Mobile Based Conceptual Framework

MS. Suhail Razeeth; RKAR. Kariapper

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 4199-4217

Road accidents have been touching the alarming level due to the rapid growth of world population, life in congested city area and equally the usage of motor vehicles around the globe.According to the World Health Organization, around 1.35 billion deaths are being reported annually due to road accidents, where the most of the deaths happen in the urban areas due to poor infrastructure where the emergency evacuation services can not be carriedout appropriately. An emergency evacuation plan must have an exact route without traffic, available services from a nearby hospital, emergency services during the evacuation process, and on-time services.This study introduces an emergency services layer on top of accident avoidance layer which was proposed in our previous study.Pulse and heart rate of the human being enters the cloud via a wireless sensor network. Wireless nodes and poles are used to transfer the data to the cloud. An aggregator node collects all data and sends it to the clouds. A Data Lake acts as a cloud server, and petabytes of data from the vehicles will store in the data lake. The data lake supports all the data from websites, IoT devices and mobile applications. According to the severity of the accident, the data lake will be notified. If the case is falling minor injuries the driver will be notified to consult a doctor. If the case is major then the data lake sends notification to emergency response service to find the shortest path to reach hospital; traffic system to clear shortest path traffic route; available doctors nearby hospital to study the patient’s history and when the patient is reached, then to start the treatment; and hospital system to inform the nearest police station. The health information data is very crusial part and the health information must be protected multi security layer.When the proposed solution is implemented with our previous study’s accident avoidance layer, the complete system delivers the best protection to human lives.

IoT and Wireless Sensor Network based Surveillance Robot for Health Care Applications

Md. Zia Ur Rahman; E. Jaya Sai Surya Teja Varma; C. Saketh Avinash; G. Pradeep Kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1027-1039

Internet of things (IoT) is developing day by day and it is the future of computer technology and networking. This paper explains about the working, plan and implementation of IoT and wireless Sensor based surveillance robot using Arduino uno controlled by hand gesture. The main motto of the gesture recognition to reduce the human power to control robot to enhance and showcase their skills. The hand motion or gesture was recognized by using gyroscope accelerometer. There are so many ways and algorithms are there and implemented to recognize the hand gesture. Here we are dividing the robot into two circuits, transmitter and receiver. The Transmitter circuit contains Gyroscope and Accelerometer (MPU6050), Arduino UNO, Transceiver (NRF24L01). The Receiver circuit contains Motor Driver (L298D), Transceiver (NRF24L01), BLET (Bluetooth low energy tags), Arduino UNO. The motto of the project was according to the hand motions the robot must react. Hand motion detected by the gyroscope accelerometer. The Main Reason of the mixing the BLE Tags with Robot is to help the soldiers who are at the border of the country, so that at the time of war they can move their robots by their own wish so that they can know where the Land Mines are present and can see the robot status in mobile app.