Open Source Network Optimization Tools for Edge Intelligence

Wang, Gregory; Steeg, David

doi:10.53759/181x/jcns202202009

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…The ratio of packets received at the sink to packets sent by the source Routing Protocol (CT-RPL) selects the best cluster head based on the Euclidean distance and the efficient route is selected using a game theory approach [29].…”

Section: Amount Of Energy Left Over After Completion Of Transmission ...mentioning

confidence: 99%

An Insight on Optimization Techniques for Uncertain and Reliable Routing in Wireless Body Area Networks

Sakthivel

Ganesan

2023

JMC

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In recent times, Wireless Body Area Networks a subsection of Wireless Sensor Network is a promising technology for future healthcare realm with cutting-edge technologies that can assist healthcare professionals like doctors, nurses and biomedical engineers. Machine Learning and Internet of Things enabled medical big data is the future of healthcare sector and Medical Technology-based industries leading to applications in other sectors such as fitness tracking for commercial purposes, Sportsperson health monitoring to track their day-to-day activities and wearable devices for critical and emergency care. This comprehensive review article addresses Wireless Body Area Network state-of-art and the dependence of Optimization Techniques and Meta-heuristic Algorithms for an efficient routing path between two sensor nodes: source node and destination node and it plays an effective role in optimizing the network parameters such as radio range, energy consumption, throughput, data aggregation, clustering and routing. Designing of energy-efficient routing for wireless body are network is such a challenging task due to uncertainty in dynamic network topology, energy constraints and limited power consumption. Optimization Techniques can help the researchers to achieve the drawbacks mentioned above and energy-efficiency of the network can be improved. In this article, we focus majorly on the efficiency of usage of optimization algorithms for Wireless Body Area Network routing mechanisms and a summary of its earlier studies during 2012-2023 epoch. Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Artificial Bee Colony and Firefly Optimization algorithms were discussed on achieving local optima for better results through optimization. This article provides an insight into existing gaps and further modifications to the researchers in WBAN that can motivate them to propose new ideas for reliable solutions. Performance comparison and evaluation of different bio-inspired optimization algorithms has been discussed for further improvement in optimized routing algorithms.

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Section: Amount Of Energy Left Over After Completion Of Transmission ...mentioning

confidence: 99%

An Insight on Optimization Techniques for Uncertain and Reliable Routing in Wireless Body Area Networks

Sakthivel

Ganesan

2023

JMC

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“…It includes P2P network design, encryption technology, implementing distributed algorithm and use of data storage [8]. Implementing the limitations of blockchain technology by combining with other cryptographic techniques to discourse the security problems of storing medical data management [9]. Lack of ability and consciousness in implementation, limitations arise in security side of blockchain based cloud storage works quite slow in progress.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, advanced cryptographic algorithms are required with the features of rich access control and strict high dimensionality secure enforcement. Nowadays, adopting advanced features of cryptographic algorithms research projects are carried out to provide secure processing of clinical data in the cloud storage [9].…”

Section: Introductionmentioning

confidence: 99%

Two Fish Encryption Based Blockchain Technology for Secured Data Storage

Duraimutharasan

2023

JMC

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Data security and sharing remains nuisance among many applications like business data, medical data, banking data etc. In this research, block chain technology is built with encryption algorithm for high level data security in cloud storage. Medical data security seems critical aspect due to sensitivity of patient’s information. Unauthorized access of medical data creates major issue to patients. This article proposed block chain with hybrid encryption technique for securing medical data stored in block chain model at cloud storage. New Two fish encryption model is implemented based on RSA Multiple Precision Arithmetic (MPA). MPA works by using library concept. The objective of using this methodology is to enhance security performance with less execution time. Patient data is processed by encryption algorithm and stored at blockchain infrastructure using encrypted key. Access permission allows user to read or write the medical data attached in block chain framework. The performance of traditional cryptographic techniques is very less in providing security infrastructure. Proposed blockchain based Two fish encryption technique provides high security in less encryption and decryption time.

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