Internet of Things-oriented Wireless Sensor Networks Review

2014 ◽  
Vol 35 (1) ◽  
pp. 215-227 ◽  
Author(s):  
Zhi-hong Qian ◽  
Yi-jun Wang
Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2417
Author(s):  
Andrzej Michalski ◽  
Zbigniew Watral

This article presents the problems of powering wireless sensor networks operating in the structures of the Internet of Things (IoT). This issue was discussed on the example of a universal end node in IoT technology containing RFID (Radio Frequency Identification) tags. The basic methods of signal transmission in these types of networks are discussed and their impact on the basic requirements such as range, transmission speed, low energy consumption, and the maximum number of devices that can simultaneously operate in the network. The issue of low power consumption of devices used in IoT solutions is one of the main research objects. The analysis of possible communication protocols has shown that there is a possibility of effective optimization in this area. The wide range of power sources available on the market, used in nodes of wireless sensor networks, was compared. The alternative possibilities of powering the network nodes from Energy Harvesting (EH) generators are presented.


2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Jun Huang ◽  
Liqian Xu ◽  
Cong-cong Xing ◽  
Qiang Duan

The design of wireless sensor networks (WSNs) in the Internet of Things (IoT) faces many new challenges that must be addressed through an optimization of multiple design objectives. Therefore, multiobjective optimization is an important research topic in this field. In this paper, we develop a new efficient multiobjective optimization algorithm based on the chaotic ant swarm (CAS). Unlike the ant colony optimization (ACO) algorithm, CAS takes advantage of both the chaotic behavior of a single ant and the self-organization behavior of the ant colony. We first describe the CAS and its nonlinear dynamic model and then extend it to a multiobjective optimizer. Specifically, we first adopt the concepts of “nondominated sorting” and “crowding distance” to allow the algorithm to obtain the true or near optimum. Next, we redefine the rule of “neighbor” selection for each individual (ant) to enable the algorithm to converge and to distribute the solutions evenly. Also, we collect the current best individuals within each generation and employ the “archive-based” approach to expedite the convergence of the algorithm. The numerical experiments show that the proposed algorithm outperforms two leading algorithms on most well-known test instances in terms of Generational Distance, Error Ratio, and Spacing.


Sensors ◽  
2016 ◽  
Vol 16 (8) ◽  
pp. 1323 ◽  
Author(s):  
Shinya Toyonaga ◽  
Daichi Kominami ◽  
Masayuki Murata

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Munsyi Munsyi ◽  
Muhammad Syahid Febriadi ◽  
Nahdi Saubari

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. 


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