Analysis of Five Typical Localization Algorithms for Wireless Sensor Networks

Li, Shelei; Xue-yong, Ding; Yang, Tingting

doi:10.4236/wsn.2015.74004

Cited by 24 publications

(10 citation statements)

References 3 publications

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“…In this algorithm, the location error is dependent on the number of anchor nodes, that is, the number of triangular regions. The APIT algorithm can be broken down into four steps 27 . In the first step, the nearest anchor nodes to the unknown sensor are determined according to the RSSI signal power.…”

Section: Apit Algorithmmentioning

confidence: 99%

Intelligent Centroid Localization Based on Fuzzy Logic and Genetic Algorithm

Tuncer¹

2017

IJCIS

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For many of the applications in which wireless sensor networks are used, it is important to know from which nodes or what location useful information is acquired. The Global Positioning System (GPS) is conventionally used to determine location. However, GPS systems are not ideal for many applications due to their excessive power consumption and high cost. As an alternative to GPS, distance and location can be estimated through the usage of at least 3 nodes with known locations. Received Signal Strength Indication (RSSI) is the simplest and most inexpensive technique used to determine distance and location, and is a standard feature on every sensor. However, RSSI can be affected by noise and environmental obstacles. For this reason, it is difficult to set up a mathematical model for RSSI. This paper presents a conversion of the Centroid Localization (CL) method in determining the location of a sensor of unknown location to the Intelligent Centroid Localization (ICL) Method. Fuzzy logic and genetic algorithm are employed in the ICL method. RSSI values measured by anchor nodes are applied as inputs to the fuzzy system in the ICL developed. Anchor nodes have been assigned weight values to increase the effect of high-value RSSI nodes in positioning. Therefore the fuzzy system's output is defined as weight (w). The base values of the fuzzy system's output membership functions are adjusted using genetic algorithm to minimize location error. Toward observing the performance of the proposed ICL, comparisons with the both Centroid Localization method and APIT (Approximate Point In Triangle) algorithm have been provided. The localization error has been reduced to minimum levels.

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Section: Apit Algorithmmentioning

confidence: 99%

Intelligent Centroid Localization Based on Fuzzy Logic and Genetic Algorithm

Tuncer¹

2017

IJCIS

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“…Different technological terms such as Telecommunications, Internet of Things (IoT), and robotics have been considered a vital part of our daily activities [1]- [3]. Although its advances and limitations, innovative tech can be solved fundemental issues and save lives for many people for political or financial purposes [4]- [7]. In the electronic era, speed, flexibility, and automation are major defiance that is enabling researchers to meet the challenges of the society against the quick development of the techs [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Management and archiving system for metal detection robot using wireless-based technology and online database registry

Kadhim

Ali

Abdulsahib

2019

IJPEDS

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<p class="JESTECStyleBodyTextIndentComplex10ptFirstline"><span>The tremendous recent involvement of technology in our life generates a lot of advantages and disadvantages. Nevertheless, and to profoundly augment its positive influence, at the expense of the negatives, most technology be deployed to serve humanity and society. Researchers attractive in developing robust and cooperative robotics that capable of solving difficult tasks without any human control. Metal detector robot is one of the robotics principles due to its effectiveness as compared with manually operated and very slow traditional methods. In this article, three main points that are concentrated 1) Design a robot which is vehicle-mounted sensors that capable of carries the sensors of the metal and obstacle; 2) Control and management system wirelessly by a computer-based to command the robot functions by several sets of user’s rules and manage the robot instructions; and 3) Conduct an integrated system that achieving navigated data via metal detector based on online structured query language database registry. Also, discussed a comparison of the previous detector systems and highlights on several merits. The proposed system capable of fully control the robot also, set the robot operator permissions and rules, stored and archived the navigated results and printed reports and stored in an independent database.</span></p>

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“…Wireless Sensor Network (WSN) is one of the standard direction in information communication and technology (ICT) research areas that developed on various technologies such as sensor technology, microelectromechanical technology and wireless communication technology [14]- [16]. Consequently, several wireless systems have been rapidly increasing primarily for medical applications in the recent years [17].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

Ali

Alyasseri

Abdulmohson

2018

IJECE

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Wireless Sensor Networks (WSNs) for healthcare have emerged in the recent years. Wireless technology has been developed and used widely for different medical fields. This technology provides healthcare services for patients, especially who suffer from chronic diseases. Services such as catering continuous medical monitoring and get rid of disturbance caused by the sensor of instruments. Sensors are connected to a patient by wires and become bed-bound that less from the mobility of the patient. In this paper, proposed a real-time heart pulse monitoring system via conducted an electronic circuit architecture to measure Heart Pulse (HP) for patients and display heart pulse measuring via smartphone and computer over the network in real-time settings. In HP measuring application standpoint, using sensor technology to observe heart pulse by bringing the fingerprint to the sensor via used Arduino microcontroller with Ethernet shield to connect heart pulse circuit to the internet and send results to the web server and receive it anywhere. The proposed system provided the usability by the user (user-friendly) not only by the specialist. Also, it offered speed andresults accuracy, the highest availability with the user on an ongoing basis, and few cost.

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Analysis of Five Typical Localization Algorithms for Wireless Sensor Networks

Cited by 24 publications

References 3 publications

Intelligent Centroid Localization Based on Fuzzy Logic and Genetic Algorithm

Intelligent Centroid Localization Based on Fuzzy Logic and Genetic Algorithm

Management and archiving system for metal detection robot using wireless-based technology and online database registry

Real-Time Heart Pulse Monitoring Technique Using Wireless Sensor Network and Mobile Application

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