scholarly journals DEVELOPMENT OF METHODS OF POSITIONING, LOCALIZATION AND DATA COLLECTION FROM NODES OF A FREE MOBILE SENSOR NETWORK USING INTELLIGENT ADAPTIVE TELECOMMUNICATION AEROPLATFORMS

2021 ◽  
pp. 40-49
Author(s):  
Valery Romaniuk ◽  
Olexandr Lysenko ◽  
Valery Novikov ◽  
Ihor Sushyn
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Sensor Network ◽  
Telecommunication Networks ◽  
Analytical Models ◽  
Wireless Sensor ◽  
Main Task ◽  
Network Clustering ◽  
Mobile Wireless Sensor

Background. The article presents the results of a study of methods of positioning, localization and data collection from nodes of a mobile wireless sensor network using intelligent adaptive telecommunication air platforms. To implement the study of this research topic, an analysis of literary sources on this topic was carried out. Based on a fairly rich bibliographic material, this work has the main task of examining, analyzing and systematizing already known approaches to positioning objects in wireless sensor networks using intelligent adaptive telecommunication air platforms and suggesting options for their development. Objective. The aim of the work is to improve the methods of direct data collection of TA from the nodes of BSM, the general directions of synthesis of which are defined in the work. Methods. Methods of cluster analysis (network clustering), graph theory (research of analytical models of BSM with TA functioning, construction of cluster topology), theory of telecommunication networks (when calculating bandwidth in BSM with TA radio channels) and theory were used to solve the formulated problem. (when developing a positioning model for telecommunications air platforms) Results. A technique for evaluating the effectiveness of methods for collecting data from wireless sensor networks using intelligent adaptive telecommunication air platforms is proposed. Conclusions. The method of collecting TA monitoring data from the main nodes of clustered BSM has been improved. The method of estimation of efficiency of methods of data collection with BSM by telecommunication air platforms is offered.

scholarly journals An Elite Hybrid Particle Swarm Optimization for Solving Minimal Exposure Path Problem in Mobile Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2586
Author(s):  
Nguyen Thi My Binh ◽  
Abdelhamid Mellouk ◽  
Huynh Thi Thanh Binh ◽  
Le Vu Loi ◽  
Dang Lam San ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Mobile Wireless ◽  
Swarm Optimization ◽  
Mobile Wireless Sensor Networks ◽  
Coverage Quality ◽  
Mobile Wireless Sensor

Mobile wireless sensor networks (MWSNs), a sub-class of wireless sensor networks (WSNs), have recently been a growing concern among the academic community. MWSNs can improve network coverage quality which reflects how well a region of interest is monitored or tracked by sensors. To evaluate the coverage quality of WSNs, we frequently use the minimal exposure path (MEP) in the sensing field as an effective measurement. MEP refers to the worst covered path along which an intruder can go through the sensor network with the lowest possibility of being detected. It is greatly valuable for network designers to recognize the vulnerabilities of WSNs and to make necessary improvements. Most prior studies focused on this problem under a static sensor network, which may suffer from several drawbacks; i.e., failure in sensor position causes coverage holes in the network. This paper investigates the problem of finding the minimal exposure paths in MWSNs (hereinafter MMEP). First, we formulate the MMEP problem. Then the MMEP problem is converted into a numerical functional extreme problem with high dimensionality, non-differentiation and non-linearity. To efficiently cope with these characteristics, we propose HPSO-MMEP algorithm, which is an integration of genetic algorithm into particle swarm optimization. Besides, we also create a variety of custom-made topologies of MWSNs for experimental simulations. The experimental results indicate that HPSO-MMEP is suitable for the converted MMEP problem and performs much better than existing algorithms.

A Adaptive Wireless Sensor Networks for Marine Monitoring

2012 ◽  
Vol 542-543 ◽  
pp. 169-178
Author(s):  
Dong Hong Yang ◽  
Ji Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Data Collection ◽  
Data Acquisition ◽  
Sensor Network ◽  
Data Sharing ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Energy Efficient Routing

The real-time online offshore monitoring system based on wireless sensor network has been designed.It successfully applied wireless sensor network technology to the field of ocean environmental monitoring system.The system is an automatic monitoring system without manual involvement,which runs automatically by the program from the data collection nodes import to the sink node through the communication nodes. The handheld sink has a slick looking interface.It is an offshore wireless sensor networks which can be set up flexibly and can monitor the changes of temperature,light intensity ,PH, dissolved oxygen and other parameters.The system is composed of three main components including data acquisition subsystem,data transmission control subsystem and data sharing subsystem.The subsystems are responsible for monitoring data collection,information transmission processing,data sharing ,and information service.This paper described the architecture of the entire system and the implementation of each module in details,especially the implementation of data acquisition subsystem including hardware packaging,software designing and environmental configuration.Through analyzing of telos node hardware and the energy status of routing protocols,it proposes energy-saving solutions based on energy-efficient routing and radio dormancy strategy. The system has been running for more than one year.It has been proved that the system is energy-saving.It has made an important impact on ocean ography.

scholarly journals A Review on Sensor Network Issues and Robotics

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Ji Hyoung Ryu ◽  
Muhammad Irfan ◽  
Aamir Reyaz
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Mobile Sensor Networks ◽  
Wireless Sensor ◽  
Distributed Robotics ◽  
Mobile Sensor ◽  
Network Applications ◽  
Mobile Wireless Sensor ◽  
New Applications

The interaction of distributed robotics and wireless sensor networks has led to the creation of mobile sensor networks. There has been an increasing interest in building mobile sensor networks and they are the favored class of WSNs in which mobility plays a key role in the execution of an application. More and more researches focus on development of mobile wireless sensor networks (MWSNs) due to its favorable advantages and applications. In WSNs robotics can play a crucial role, and integrating static nodes with mobile robots enhances the capabilities of both types of devices and enables new applications. In this paper we present an overview on mobile sensor networks in robotics and vice versa and robotic sensor network applications.

Mobile Wireless Sensor Networks K-Covering Algorithm

2011 ◽  
Vol 216 ◽  
pp. 617-620
Author(s):  
Xin Lian Zhou ◽  
Bin Xiao ◽  
Jing Liang Cheng
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Mobile Wireless ◽  
Mobile Wireless Sensor Network ◽  
Mobile Wireless Sensor Networks ◽  
Mobile Wireless Sensor ◽  
Coverage Holes

In mobile wireless sensor networks, sensor nodes may due to their own moves, energy loss, physical damage, errors and failures or other factors, will result the case of coverage holes, and then lead to inefficient network coverage. This paper designed a new algorithm based on clustering approach for mobile wireless sensor network, can monitor the network in real-time and repairing coverage holes quickly. Simulation results show that, the algorithm used in mobile wireless sensor network not only can achieve the desired uniformity of coverage, but also increase the coverage area, and better performance than the Virtual force algorithm(VFA) [1].

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