A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications
Volume-3 | Issue-3
TOWARDS GHZ METALLIC ACCESS NETWORKS
Volume-1 | Issue-1
Analysis of Visible Light Communication using Integrated Avalanche Photodiode
Volume-4 | Issue-2
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Process Control Ladder Logic Trouble Shooting Techniques Fundamentals
Volume-1 | Issue-4
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
COMPUTATIONAL OFFLOADING FOR PERFORMANCE IMPROVEMENT AND ENERGY SAVING IN MOBILE DEVICES
Volume-1 | Issue-4
Dual Edge-Fed Left Hand and Right Hand Circularly Polarized Rectangular Micro-Strip Patch Antenna for Wireless Communication Applications
Volume-2 | Issue-3
ANALYSIS OF ROUTING PROTOCOLS IN FLYING WIRELESS NETWORKS
Volume-1 | Issue-3
5G Systems with Low Density Parity Check based Chanel Coding for Enhanced Mobile Broadband Scheme
Volume-2 | Issue-1
TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
Volume-1 | Issue-1
Hybrid Micro-Energy Harvesting Model using WSN for Self-Sustainable Wireless Mobile Charging Application
Volume-3 | Issue-3
Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles
Volume-3 | Issue-3
Cyber-attack and Measuring its Risk
Volume-3 | Issue-4
Analysis of Solar Power Generation Performance Improvement Techniques
Volume-4 | Issue-3
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Pollination Inspired Clustering Model for Wireless Sensor Network Optimization
Volume-3 | Issue-3
Design of Low Power Cam Memory Cell for the Next Generation Network Processors
Volume-3 | Issue-4
A STUDY OF RESEARCH NOTIONS IN WIRELESS BODY SENSOR NETWORK (WBSN)
Volume-1 | Issue-2
Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers
Volume-3 | Issue-3
Volume - 4 | Issue - 4 | december 2022
Published
23 December, 2022
A wireless sensor network is a large network with plenty of nodes for sensing and tracking network changes. High network mobility causes quality issues and may reduce delivery rate. Locating sensor node aids in accurate and loss-free data transmission to the destination. To locate the mobile nodes in a sensor network, a novel Mobile Anchor Assisted Circularized Localization Scheme has been proposed in this work. This proposed method uses a mobile assisted anchor node for determining the location of sensor nodes in a circularized manner. The position of the anchor node is determined by using control messages sent from the base station. Following the identification of the anchor node, the coordinates of nearby nodes are calculated using the circularized position and the Euclidian distance. This localization scheme aids in determining the precise position of the sensor node. Since the data is transmitted between known localized sensor nodes, the drop rate reduces while the delivery rate increases. The simulation result examines the performance of the proposed scheme using Quality of Service parameters such as throughput, drop rate and delivery rate. The proposed model achieves a higher delivery ratio and improves the overall network performance of the sensor network.
KeywordsWireless sensor network localization delivery rate anchor node mobile node
Full Article PDF Download Article PDF
(INR / USD):