Efficient and Secure Remote Health Management in Cloud in Vehicular Adhoc Network Environment

2021 ◽  
Vol 11 (12) ◽  
pp. 2966-2975
Author(s):  
K. Mohanaprakash ◽  
T. GunaSekar
Keyword(s):  
Ad Hoc ◽  
Health Management ◽  
Cuckoo Search ◽  
Gradient Boosting ◽  
Short Period ◽  
Extreme Gradient Boosting ◽  
Vehicle Ad Hoc Networks ◽  
Efficient Route ◽  
Hoc Networks ◽  
Internet Of Things Technology

Vehicle Ad Hoc Networks (VANETs) is a crucial communications framework for transferring messages between any healthcare systems. The dilemma of fixing the safest efficient route is a tedious issue in VANET. Hence the secure and most reliable way will give the appropriate solution for the routing issues in the VANET. In this paper, by using the Multi-Objective Bio-inspired Heuristic Cuckoo Search Node optimization algorithm is designed to find the efficient safest route for transferring health data within a short period. After seeing the efficient route, the node can be distinguished upon the traffic and security by using the Stochastic Discriminant Random Forest Node Classifier. Then in the selected route, the nodal distance can be calculated by applying the delay-based weighted end-to-end approach for traffic analysis. Then the authentic vehicle node can be analyzed through the Trust Aware extreme Gradient Boosting Node Classification based Secured Routing (TAXGBNC-SR) Technique. The obtained information that can be stored in the cloud. It deal with the multiple number of tasks gives to the ARM micro-controllers in order to perform the multiple tasks that gets logged in the cloud via Internet of Things technology (Iot).

scholarly journals Adaptive Handover Decision Inspired by Biological Mechanism in Vehicle Ad-hoc Networks

2019 ◽  
Vol 61 (3) ◽  
pp. 1117-1128 ◽  
Author(s):  
Xuting Duan ◽  
Jingyi Wei ◽  
Daxin Tian ◽  
Jianshan Zhou ◽  
Haiying Xia ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Biological Mechanism ◽  
Handover Decision ◽  
Vehicle Ad Hoc Networks ◽  
Hoc Networks

Trust-Enabled Energy Effective Optimal Framework for Detection of Intrusions in the Network Using AI Scheme

2021 ◽  
Author(s):  
Putty Srivi ◽  
Lavadya Nirmala Devi
Keyword(s):  
Data Transmission ◽  
Energy Efficient ◽  
Data Dissemination ◽  
Cuckoo Search ◽  
Biologically Inspired ◽  
Nodal Distance ◽  
End To End Delay ◽  
Short Period ◽  
Secure Data Transmission ◽  
Efficient Route

Abstract Wireless Sensor Networks (WSN) are self-possessed of the devices that are capable of actuating/sensing, processing, and communicating. This is employed for enhancing the day-to-day life, moreover secure data transmission was regarded as the major challenging aspect for the deployment of data. Data dissemination is a crucial in the complex communications framework for transferring messages for any given condition on the network. The dilemma of fixing the safest efficient route was a tedious issue. Hence the secure and most reliable way will give the appropriate solution for the routing issues. Here in this paper the Trust based energy efficient route path identification by Multi-faceted biologically-inspired probabilistic Cuckoo search Node optimization algorithm (TEERP-MFBPCS)is employed to find the efficient safest route within a short period. After seeing the efficient route, the node can be distinguished upon the traffic and security. Then in the selected route, the nodal distance can be calculated through applying weighted-biased end-to-end delay-based approach for traffic analysis. Finally, the intrusion node can be detected and the performance analysis is carried.

scholarly journals New Discrete Cuckoo Search Optimization Algorithms for Effective Route Discovery in IoT-Based Vehicular Ad-Hoc Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 145469-145488
Author(s):  
Habeeb Bello-Salau ◽  
Adeiza James Onumanyi ◽  
Adnan M. Abu-Mahfouz ◽  
Achonu O. Adejo ◽  
Muhammed Bashir Mu'Azu
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Optimization Algorithms ◽  
Cuckoo Search ◽  
Route Discovery ◽  
Search Optimization ◽  
Cuckoo Search Optimization ◽  
Hoc Networks

Hierarchal Fuzzy Logic Controller and Internet of Things (IoT) Information

2017 ◽  
Vol 6 (3) ◽  
pp. 59-86 ◽  
Author(s):  
Rabie A. Ramadan ◽  
Ahmed B. Altamimi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Health Care Organizations ◽  
Test Case ◽  
Weather Information ◽  
Huge Data ◽  
Vehicle Ad Hoc Networks ◽  
Disease Spreading ◽  
Hoc Networks

With the advances of networks and sensing technologies, it is possible to benefit from the surrounding environment's data in enhancing peoples' life. Currently, we have different types of networks such as Wireless Sensor Networks (WSNs), Vehicle Ad Hoc Networks (VANETs), Cellular Networks (CNs), and Social Networks (SNs) along with underlying computing such as Cloud computing. These types of networks provide huge data about the surrounding environments including weather information, peoples' relations, peoples' interest, and location information. This paper examines the suitability of hierarchal fuzzy logic controller in classifying the IoT data. The paper also tries to answer “if-else “questions about the effect of each of the input parameters. The authors' test case in this paper is related to the disease spreading prediction problem. This test case is highly important to the health care organizations. Different case studies are generated to examine the efficiency of the proposed framework and methodologies.

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