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A Review on Identifying Suitable Machine Learning Approach for Internet of Things Applications
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REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
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Modified Gray Wolf Feature Selection and Machine Learning Classification for Wireless Sensor Network Intrusion Detection
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TRUST BASED ROUTING ALGORITHM IN INTERNET OF THINGS (IoT)
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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
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Cyber-attack and Measuring its Risk
Volume-3 | Issue-4
REVIEW ON UBIQUITOUS CLOUDS AND PERSONAL MOBILE NETWORKS
Volume-1 | Issue-3
Analysis of Solar Power Generation Performance Improvement Techniques
Volume-4 | 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)
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Computation of Constant Gain and NF Circles for 60 GHz Ultra-low noise Amplifiers
Volume-3 | Issue-3
Volume - 4 | Issue - 1 | march 2022
Published
06 June, 2022
Wireless sensor networks consists of nodes that are connected via wireless links and collaborate to self-organize into a network without utilizing any centralized infrastructure. Sensor networks encompass a wide range of paradigms and from that this research study focuses on the mobile networks, which recently significant potential for public/commercial environments and emergency disaster management services. Despite the hype, the wireless mobile networks are also experiencing the challenges such as communication failure, power consumption and network lifetime challenges. This paper presents a hybrid K-Means and Logistic Regression (LR) based algorithm to build a time sensitive multi hop communication to identify the shortest path to the base station and establish a flawless long distance communication. The proposed model metrics are defined to handle an emergency search and rescue operations in India. The NS2 simulator has been used to simulate the efficiency of the proposed model. The following metrics are utilized to analyse the performance: energy consumption, packet delivery ratio (PDR) and network lifetime.
KeywordsMobile Adhoc Networks (MANET) emergency operations Mo-LEACH time-sensitive model
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