A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol

Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed...

Full description

Saved in:
Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-01, Vol.24 (3), p.802
Main Authors: Souissi, Rihab, Sahnoun, Salwa, Baazaoui, Mohamed Khalil, Fromm, Robert, Fakhfakh, Ahmed, Derbel, Faouzi
Format: Article
Language:English
Subjects:
Access control
Accuracy
Algorithms
Communication
Computer network protocols
Energy consumption
Freedom of the press
Global positioning systems
GPS
indoor localization
Internet of Things
Investigations
Localization
low-energy consumption
OMNeT
Optimization techniques
Performance evaluation
Radio frequency identification
received signal strength indication
Receivers & amplifiers
Sensors
Simulation
wake-up receiver
wireless sensor network
Wireless sensor networks
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed tracking system deals with several factors such as latency, energy consumption, and accuracy presenting an innovative solution for the mobile localization application. In this paper, a novel algorithm introduces a self-localization algorithm for mobile targets using the wake-up media access control (MAC) protocol. The developed tracking application is based on the trilateration technique with received signal strength indication (RSSI) measurements. Simulations are implemented in the objective modular network testbed in C++ (OMNeT++) discrete event simulator using the C++ programming language, and the RSSI values introduced are based on real indoor measurements. In addition, a determination approach for finding the optimal parameters of RSSI is assigned to implement for the simulation parameters. Simulation results show a significant reduction in power consumption and exceptional accuracy, with an average error of 1.91 m in 90% of cases. This method allows the optimization of overall energy consumption, which consumes only 2.69% during the localization of 100 different positions.
ISSN:1424-8220
1424-8220
DOI:10.3390/s24030802