Cluster based wireless sensor network for forests environmental monitoring

Sinde, Ramadhani; Kaijage, Shubi; Njau, Karoli N.

doi:10.19101/ijatee.2019.650083

Cited by 6 publications

(5 citation statements)

References 30 publications

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“…The major factors considered for the energy efficient biomedical application are the monitoring, energy efficient replacement, imaging, data communication, bandwidth, transmission rate etc. [ 9 , 13 , 14 , 36 , 38 , 40 ]. The main motivation of this study is to present the effectiveness of low-power traffic-aware emergency based narrowband protocol (LTE-NBP) model to showcase the applicability in the biomedical applications.…”

Section: Introductionmentioning

confidence: 99%

LTE-NBP with holistic UWB-WBAN approach for the energy efficient biomedical application

Kumar

Rathore²,

Dubey

et al. 2023

Multimed Tools Appl

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Increased use of ultra-wideband (UWB) in biomedical applications based on wireless body area networks (WBAN) opens a variety of options in the field of biomedical research. WBAN may aid in the continuous health monitoring of patients while they go about their everyday lives. Many studies and researchers were conducted several experimentations in the same field for the performance improvement. This study covered the hybridization of UWB technology, as well as on-body, off-body, and human-body ultra-wideband communication (HB-UWB). In this paper, the parameters considered are throughput, energy consumption, energy efficiency, energy used, network survival and delay. An improved model for design and assessment of power-saving UWB-WBAN was developed in this paper. A novel protocol model was introduced in this paper, namely low-power traffic-aware emergency based narrowband protocol (LTE-NBP) to overcome the major drawbacks of emergency, critical data transmission, reliability and the power issues in UWB-WBAN. It’s the emergency-based low-power traffic-aware narrowband protocol. It is based on the dual-band physical layer technology. The suggested protocol considered an aware traffic model and an emergency medium access control (MAC) protocol. The proposed model’s performance was evaluated and compared with the related algorithms on different performance parameters. The improved model is found to be efficient in throughput, energy efficiency, energy consumption, and delay.

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Section: Introductionmentioning

confidence: 99%

LTE-NBP with holistic UWB-WBAN approach for the energy efficient biomedical application

Kumar

Rathore²,

Dubey

et al. 2023

Multimed Tools Appl

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“…Some researchers propose to solve the problem directly which optimizes the network performance. The Computational Intelligence method to perform this feat includes DPSO (discrete particle swarm optimization) and GA (genetic algorithm) [204], chicken swarm-based genetic algorithm [205], Fuzzy System [206]- [209], CNN [210], ACO (Ant Colony Optimization) [211] and FFA (FireFly Algorithm) [212]. However, some researchers hope to use indirect methods to solve IoT WSN communication problems such as environmental modeling for wireless data transmission (radio propagation modeling) [213], [214].…”

Section: Communicationmentioning

confidence: 99%

“…Communication PSO [217], DPSO [204], GA [204], Fuzzy [206]- [209], CNN [210] [215], ACO [211], FFA [212], ANFIS [105], Random Forest [216], Markov Chain [218].…”

Section: Functionality Computational Intelligencementioning

confidence: 99%

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

Hakim

Septiyana

Suwarno

2022

Journal of Robotics and Control

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In this modern age, Internet of Things (IoT) and Wireless Sensor Network (WSN) as its derivatives have become one of the most popular and important technological advancements. In IoT, all things and services in the real world are digitalized and it continues to grow exponentially every year. This growth in number of IoT device in the end has created a tremendous amount of data and new data services such as big data systems. These new technologies can be managed to produce additional value to the existing business model. It also can provide a forecasting service and is capable to produce decision-making support using computational intelligence methods. In this survey paper, we provide detailed research activities concerning Computational Intelligence methods application in IoT WSN. To build a good understanding, in this paper we also present various challenges and issues for Computational Intelligence in IoT WSN. In the last presentation, we discuss the future direction of Computational Intelligence applications in IoT WSN such as Self-Organizing Network (dynamic network) concept.

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“…According to [23], WSNs with the self and auto configuration of nodes, as well as the ability to operate without human intervention, have enhanced efficacy and rendered this type of system easier to install and more flexible. The paper emphasizes on getting the humidity and temperature data from the forest.…”

Section: Literature Reviewmentioning

confidence: 99%

Utilization of huffman coding for weather buoy system using long-range communication

Velasco¹,

Credo²,

Salazar³

et al. 2021

IJATEE

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Weather defines the short-term condition of the atmosphere in a certain region, while climate is the statistical weather condition at a given place during a specified period of time. Climate change describes the change of weather patterns over time within the range of decades to millions of years. According to studies, earth is experiencing climate change due to human activities. This past decade, predicting the weather condition has become a tough problem that humans encounter everywhere around the world. This sometimes results in an inaccurate weather prediction. But in order to predict and lessen the possibilities that risk and harm people's lives, developing marine weather information like buoys is done. Deploying weather buoys in the ocean helps predict weather conditions in a specific location in real-time. It is used to monitor the conditions of the ocean's surface and deep below it. *Author for correspondenceThe buoys also help to forecast natural phenomena such as earthquakes and storms by using sensors to gather different parameters such as air temperature, air density, relative humidity, wind speed, rainfall, solar radiation, water temperature and salinity profile [1].In predicting weather conditions, deploying weather buoy can now be deployed together with Wireless Sensor Networks (WSNs). WSNs are used in different areas of technology involving environment monitoring, medicine fields, logistics, etc. New Internet of Things (IoT) innovations, such as Long Range (LoRa), is evolving, allowing for very long wavelengths of power-efficient wireless connectivityLoRa is a technology is rapidly turning up and is used because of its technical advantages such as the lifetime of battery, long range, security and more [2]. LoRa has a good resistance to interference and provides

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Cluster based wireless sensor network for forests environmental monitoring

Cited by 6 publications

References 30 publications

LTE-NBP with holistic UWB-WBAN approach for the energy efficient biomedical application

LTE-NBP with holistic UWB-WBAN approach for the energy efficient biomedical application

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

Utilization of huffman coding for weather buoy system using long-range communication

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