Optimal sensor placement strategy for environmental monitoring using Wireless Sensor Networks

2010 ◽  
Author(s):  
Charles C. Castello ◽  
Jeffrey Fan ◽  
Asad Davari ◽  
Ruei-Xi Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Sensor Placement ◽  
Wireless Sensor ◽  
Optimal Sensor Placement

Spatio-Temporal Analyses of Environmental Monitoring Based on Wireless Sensor Networks

2021 ◽  
Author(s):  
Ryoma Yasutani ◽  
Koki Kitazumi ◽  
Shusuke Narieda ◽  
Takeo Fujii ◽  
Kenta Umebayashi ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Wireless Sensor ◽  
Spatio Temporal

scholarly journals Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

2017 ◽  
Vol 13 (08) ◽  
pp. 4
Author(s):  
Yong Jin ◽  
Zhenjiang Qian ◽  
Xiaoshuang Xing ◽  
Lu Shen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Living Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Communication Services ◽  
Environmental Monitoring System ◽  
Major Bottleneck

ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

scholarly journals ENVIRONMENTAL MONITORING BERBASIS INTERNET OF THINGS UNTUK PETERNAKAN CERDAS

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Munsyi Munsyi ◽  
Muhammad Syahid Febriadi ◽  
Nahdi Saubari
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Environmental Monitoring ◽  
Environmental Conditions ◽  
Smart City ◽  
Wireless Sensor ◽  
Quality Data ◽  
The Government

Di era Internet of Things (IoT). Siapapun dapat mengakses data dimanapun dan kapanpun. Semua data yang tersimpan dapat diakses dengan menggunakan perangkat seperti smartphone, laptop, dan komputer. Salah satu dari teknologi Internet of Things adalah smart city untuk memonitoring lingkungan. Untuk dapat mengetahui kondisi dan kualitas suatu lingkungan, seseorang tidak perlu lagi menunggu pengumuman informasi atau datang ke instansi terkait di pemerintahan. Pemanfaatan IoT pada monitoring lingkungan dapat di terapkan pada bidang peternakan. Hal ini dapat membantu seseorang dalam mengetahui kualitas dari kondisi lingkungan yang akan dimanfaatkan untuk peternakan. Dalam hal ini adalah bagaimana mengetahui peternakan yang cocok untuk diterapkan dilingkungan yang dia tuju untuk membangun peternakan sapi atau peternakan ayam. Menggunakan perangkat wireless sensor networks (WSN) untuk melakukan pengambilan nilai dari kondisi lingkungan tersebut dapat membantu mengetahui kondisi dan kualitas lingkungan. IoT membantu seseorang untuk membuka usaha dibidang peternakan yang cocok untuk wilayah tersebut tanpa harus melakukan banyak survey yang menelan banyak biaya. Hanya dengan menggunakan teknologi IoT siapapun dapat mendapatkan data kualitas lingkungan yang cocok untuk membuka sebuah peternakan dengan kondisi lingkungan yang sudah diketahui sebelumnya. Kata kunci: Internet of Things, Kondisi Lingkungan, Peternakan, Smart City, WSN. In the Internet of Things era (IoT). Everyone can access the data in anywhere and anytime. All stored data can be accessed using end devices such as smartphones, laptops and computers. One of the IoT technologies is a smart city for monitoring the environment. To be able to know the condition and quality of an environment, everyone does not need to wait for the announcement of information or come to the relevant agencies in the government. Utilization of IoT on Environmental Monitoring can be applied to the field of ranch. in this case it will be used for helping someone in knowing the quality of environmental conditions that will be used for. In this case it is how to find out which ranchs are suitable to be applied in the environment from the user that he want to construct cow or chicken ranch. Using wireless sensor networks (WSN) to retrieve values from these environmental conditions can help determine the condition and quality of the environment. IoT helps someone to open a business in field of ranchs that is suitable for region without having to do many survey. Only by using IoT, anyone can get suitable environmental quality data to open a ranch with environmental conditions that have been known before.Keywords: Environmental conditions, Internet of Things, Ranch, Smart City, WSN. 

An Intelligent Sensor Placement Method to Reach a High Coverage in Wireless Sensor Networks

2013 ◽  
pp. 168-183
Author(s):  
Shirin Khezri ◽  
Karim Faez ◽  
Amjad Osmani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Placement ◽  
New Method ◽  
Wireless Sensor ◽  
Sensor Deployment ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Grid Points ◽  
Adequate Coverage

Adequate coverage is one of the main problems for Sensor Networks. The effectiveness of distributed wireless sensor networks highly depends on the sensor deployment scheme. Optimizing the sensor deployment provides sufficient sensor coverage and saves cost of sensors for locating in grid points. This article applies the modified binary particle swarm optimization algorithm for solving the sensor placement in distributed sensor networks. PSO is an inherent continuous algorithm, and the discrete PSO is proposed to be adapted to discrete binary space. In the distributed sensor networks, the sensor placement is an NP-complete problem for arbitrary sensor fields. One of the most important issues in the research fields, the proposed algorithms will solve this problem by considering two factors: the complete coverage and the minimum costs. The proposed method on sensors surrounding is examined in different area. The results not only confirm the successes of using the new method in sensor placement, also they show that the new method is more efficiently compared to other methods like Simulated Annealing(SA), PBIL and LAEDA.

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