scholarly journals Range-Based Localization of a Wireless Sensor Network for Internet of Things Using Received Signal Strength Indicator and the Most Valuable Player Algorithm

Technologies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 42
Author(s):  
Mohammed A. Alanezi ◽  
Houssem R.E.H. Bouchekara ◽  
Mohammed. S. Javaid
Keyword(s):  
Internet Of Things ◽  
Signal Strength ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Local Network ◽  
Received Signal Strength Indicator ◽  
Outdoor Environments ◽  
Novel Method ◽  
Indoor And Outdoor Environments ◽  
The Internet Of Things

The localization of the nodes in wireless sensor networks is essential in establishing effective communication among different devices connected, within the Internet of Things. This paper proposes a novel method to accurately determine the position and distance of the wireless sensors linked in a local network. The method utilizes the signal strength received at the target node to identify its location in the localized grid system. The Most Valuable Player Algorithm is used to solve the localization problem. Initially, the algorithm is implemented on four test cases with a varying number of sensor nodes to display its robustness under different network occupancies. Afterward, the study is extended to incorporate actual readings from both indoor and outdoor environments. The results display higher accuracy in the localization of unknown sensor nodes than previously reported.

scholarly journals Tracking by Risky Particle Filtering over Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3109
Author(s):  
Jaechan Lim ◽  
Hyung-Min Park
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Particle Filtering ◽  
Signal Strength ◽  
Wireless Sensor ◽  
The Internet ◽  
Leibler Divergence ◽  
Degeneracy Problem ◽  
The Internet Of Things

The system of wireless sensor networks is high of interest due to a large number of demanded applications, such as the Internet of Things (IoT). The positioning of targets is one of crucial problems in wireless sensor networks. Particularly, in this paper, we propose minimax particle filtering (PF) for tracking a target in wireless sensor networks where multiple-RSS-measurements of received signal strength (RSS) are available at networked-sensors. The minimax PF adopts the maximum risk when computing the weights of particles, which results in the decreased variance of the weights and the immunity against the degeneracy problem of generic PF. Via the proposed approach, we can obtain improved tracking performance beyond the asymptotic-optimal performance of PF from a probabilistic perspective. We show the validity of the employed strategy in the applications of various PF variants, such as auxiliary-PF (APF), regularized-PF (RPF), Kullback–Leibler divergence-PF (KLDPF), and Gaussian-PF (GPF), besides the standard PF (SPF) in the problem of tracking a target in wireless sensor networks.

Research and Development on Secure System of EPC Internet of Things Based on RFID and WSN

2011 ◽  
Vol 474-476 ◽  
pp. 220-223
Author(s):  
Xin Xie ◽  
Ying Wu ◽  
Hong Lei Chen
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Communication Channel ◽  
Sensor Nodes ◽  
System Model ◽  
Wireless Sensor ◽  
Security Threats ◽  
Node Architecture ◽  
Frequency Identification ◽  
The Internet Of Things

Electronic Product Code (EPC) system and Radio-frequency Identification (RFID) play an important role in the Internet of things. We analyze the security threats which exist in the communication channel among RFID components, for this reason, an encryption mechanism which is added into it. And, hundreds of sensor nodes can form one Wireless Sensor Network (WSN) successfully, which, to a large extent, owes to the special node architecture. This paper proposes a secure EPC system model to ensure the security of the whole EPC system by implanting the components of RFID into WSN nodes.

scholarly journals Development of a Module to Teach Basic Concepts of Interfacing and Connectivity in Internet of Things

2018 ◽  
Author(s):  
Obasegun Tekena Ayodele
Keyword(s):  
Internet Of Things ◽  
Undergraduate Students ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Training Module ◽  
Analog To Digital ◽  
Digital To Analog Converters ◽  
Embedded Sensing ◽  
Laboratory Training ◽  
The Internet Of Things

This paper presents a basic laboratory training module aimed at helping undergraduate students understand the interfacing and connectivity issues involved in the Internet of things (IoT). The training module uses a sequential teaching approach to draft quasi-experiments for teaching basic IoT concepts. Interfacing includes identification, embedded sensing and embedded actuating while connectivity includes wireless connectivity and web/ mobile services. An IoT function (control and/or measurement) is first selected by users based on the physical variable of interest and the action to be carried out. The user will also select a connectivity option based on network types and transmission technologies available for communication between a sensor and/or an actuator and a gateway. The available connectivity options in this work are Bluetooth and RF. An interface is then setup based on the choices made using Arduino Pro Mini as microcontroller. Arduino Yun and a smartphone are the available gateway options depending on the connectivity option of the interface. When Bluetooth is the connectivity type on theinterface, the smartphone is used as gateway while Arduino Yun serves as the gateway when RF is the connectivity option on the interface. The training module is accompanied with an instruction manual which contains instructions on the set ups and short notes on signals andsystems, Analog to Digital Converters (ADC), Digital to Analog Converters (DAC), Wireless Sensor Networks (WSN), etc. The training module was tested with 100 randomly selected students. A few students had problems setting up the interface correctly. Coding the Arduino boards was a challenge for some of the students while a few others had challenges with creating sensor nodes. Choosing the correct connectivity type to match a gateway was the most challenging for the students.

scholarly journals On the analysis of received signal strength indicator from ESP8266

2019 ◽  
Vol 8 (3) ◽  
pp. 933-940
Author(s):  
Rafhanah Shazwani Rosli ◽  
Mohamed Hadi Habaebi ◽  
Md Rafiqul Islam
Keyword(s):  
Internet Of Things ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Characteristic Analysis ◽  
Received Signal Strength Indicator ◽  
Transceiver Module ◽  
Unique Parameter ◽  
Technological World ◽  
The Internet Of Things

Recently, the concept o Internet of Things has gained a tremendous momentum in the technological world. Internet of Things efficienty connects devices hence improving their quality of life from various aspects. One of the most heavily used device for Internet of Things application is ESP8266 WiFi serial transceiver module. It features access to the Received Signal Strength Indicator readings from the module. In this paper, a characteristic analysis of the Received Signal Strength Indicator readings collected using ESP8266 WiFi serial transceiver module is carried out. The aim is to explore the future possibilities of Received Signal Strength Indicator value as a stand-alone and unique parameter to be used in various applications especially in the domain of Internet of Things. In addition, the potential of the cheap yet sophisticated ESP8266 WiFi serial transceiver module is also highlighted. The findings have shown an insight into the characteristics of Received Signal Strength Indicator readings and how it can be utilized for other different purposes. The findings have brought up a few stimulating issues that may arise from some implementation of Received Signal Strength Indicator readings such as the significant effect of obstruction in the Line of Sight. However, its solution will thrust the Internet of Things’ technological advancementsahead.

scholarly journals Step Length Measurements Using the Received Signal Strength Indicator

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 382
Author(s):  
Zanru Yang ◽  
Le Chung Tran ◽  
Farzad Safaei
Keyword(s):  
Path Loss ◽  
Signal Strength ◽  
Step Length ◽  
Received Signal Strength ◽  
Body Parts ◽  
Received Signal Strength Indicator ◽  
Loss Model ◽  
Path Loss Model ◽  
Outdoor Environments ◽  
Indoor And Outdoor Environments

In this paper, portable transceivers with micro-controllers and radio frequency modules are developed to measure the received signal strength, path loss, and thus the distance between the human ankles for both indoor and outdoor environments. By comparing the experimental results and the theoretical model, a path loss model between transceivers attached to the subject’s ankles is derived. With the developed experimental path loss model, the step length can be measured relatively accurately, despite the imperfections of hardware devices, with the distance errors of a centimeter level. This paper, therefore, helps address the need for a distance measurement method that has fewer health concerns, is accurate, and is less affected by occlusions and confined spaces. Our findings possibly lay a foundation for some important applications, such as the measurement of gait speed and localization of the human body parts, in wireless body area networks.

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