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Fuzzy Aggregator Based Energy Aware RpL Routing for IoT Enabled Forest Environment

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computers, Materials & continua 2022年第8期72卷 4039-4055页

作者： S.Srividhya Suresh Sankaranarayanan Sergei A.Kozlov joel j.p.c.rodrigues Department of Data Science and Business Systems School of ComputingSRM Institute of Science and TechnologyChennai603203TamilnaduIndia Department of Networking and communications School of ComputingSRM Institute of Science and TechnologyChennai603203TamilnaduIndia ITMO University St.PetersburgRussia Senac Faculty of ceará FortalezaCEBrazil Instituto de Telecomunicações Covilhã6201-001Portugal

Forested areas are extremely vulnerable to disasters leading to environmental *** Fire is one among them which requires immediate *** are lot of works done by authors where Wireless Sensors and IoT have been used for forest fire ***,towards monitoring the forest fire and managing the energy efficiently in IoT,Energy Efficient Routing protocol for Low power lossy networks(E-RpL)was *** were challenges about the scalability of the network resulting in a large end-to-end delay and less packet delivery which led to the development of Aggregator-based Energy Efficient RpL with Data compression(cAAERpL).Though cAA-ERpL proved effective in terms of reduced packet delivery,less energy consumption,and increased packet delivery ratio for varying number of nodes,there is still challenge in the selection of aggregator which is based purely on probability percentage of *** has been research work where fuzzy logic been employed for Mobile Ad-hoc Routing,RpL routing and cluster head selection in Wireless *** has been no work where fuzzy logic is employed for aggregator selection in Energy Efficient *** accordingly,we here have proposed Fuzzy Based Aggregator selection in Energy-efficient RpL for region thereby forming DODAG for communicating to Fog/*** here have developed fuzzy inference rules for selecting the aggregator based on strength which takes residual power,Node degree,and Expected Transmission count(ETX)as input *** Fuzzy Aggregator Energy Efficient RpL(FA-ERpL)based on fuzzy inference rules were analysed against E-RpL in terms of scalability(First and Half Node die),Energy consumption,and aggregator node energy *** the analysis,it was found that FA-ERpL performed better than *** were simulated using MATLAB and results.

关键词： Fuzzy logic aggregator IoT RpL routing wireless sensor network

On the design of an AI-driven secure communication scheme for internet of medical things environment

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Digital communications and Networks 2023年第5期9卷 1080-1089页

作者： Neha Garg Rajat petwal Mohammad Wazid D.p.Singh Ashok Kumar Das joel j.p.c.rodrigues Department of computer Science and Engineering Graphic Era Deemed to be UniversityDehradun248002India center for Security Theory and Algorithmic ResearchInternational Institute of Information TechnologyHyderabad500032India college of computer Science and Technology China University of Petroleum(East China)Qingdao266555China Instituto de Telecomunicaçoes 6201-001CovilhaPortugal

The Internet of Medical Things(IoMT)is a collection of smart healthcare devices,hardware infrastructure,and related software applications,that facilitate the connection of healthcare information technology system via the *** is also called IoT in healthcare,facilitating secure communication of remote healthcare devices over the Internet for quick and flexible analysis of healthcare *** other words,IoMT is an amalgam of medical devices and applications,which improves overall healthcare ***,this system is prone to securityand privacy-related attacks on healthcare ***,providing a robust security mechanism to prevent the attacks and vulnerability of IoMT is *** mitigate this,we proposed a new Artificial-Intelligence envisioned secure communication scheme for *** discussed network and threat models provide details of the associated network arrangement of the IoMT devices and attacks relevant to ***,we provide the security analysis of the proposed scheme to show its security against different possible ***,a comparative study of the proposed scheme with other similar schemes is *** results show that the proposed scheme outperforms other similar schemes in terms of communication and computation costs,and security and functionality ***,we provide a pragmatic study of the proposed scheme to observe its impact on various network performance parameters.

关键词： Internet of Medical Things(IoMT) Security Authentication and key agreement Artificial Intelligence(AI) Big data analytics

New Modified controlled Bat Algorithm for Numerical Optimization problem

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computers, Materials & continua 2022年第2期70卷 2241-2259页

作者： Waqas Haider Bangyal Abdul Hameed jamil Ahmad Kashif Nisar Muhammad Reazul Haque Ag.Asri Ag.Ibrahim joel j.p.c.rodrigues M.Adil Khan Danda B.Rawat Richard Etengu Department of computing and Technology Iqra University IslamabadPakistan computer Science Kohat University of Science and Technology(KUST)KohatPakistan Faculty of computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu88400SabahMalaysia Faculty of computing&Informatics Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Federal University of piauí(UFpI) Teresina-PLBrazil Instituto de Telecomunicacoes Covilh?6201-001Portugal Department computer Science and Technology Chang’an UniversityXi’anChina Department of Electrical Engineering and computer Science Howard UniversityWashingtonDCUSA

Bat algorithm(BA)is an eminent meta-heuristic algorithm that has been widely used to solve diverse kinds of optimization *** leverages the echolocation feature of bats produced by imitating the bats’searching *** faces premature convergence due to its local search *** of using the standard uniform walk,the Torus walk is viewed as a promising alternative to improve the local search *** this work,we proposed an improved variation of BA by applying torus walk to improve diversity and *** *** computerized Bat Algorithm(McBA)approach has been examined for fifteen well-known benchmark test *** finding of our technique shows promising performance as compared to the standard pSO and standard *** proposed McBA,BpA,Standard pSO,and Standard BA have been examined for well-known benchmark test problems and training of the artificial neural network(ANN).We have performed experiments using eight benchmark datasets applied from the worldwide famous machine-learning(ML)repository of *** results have shown that the training of an ANN with McBA-NN algorithm tops the list considering exactness,with more superiority compared to the traditional *** McBA-NN algorithm may be used effectively for data classification and statistical problems in the future.

关键词： Bat algorithm McBA ANN ML Torus walk

Aggregator Based RpL for an IoT-Fog Based power Distribution System with 6LoWpAN

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china communications 2020年第1期17卷 104-117页

作者： Rijo jackson Tom Suresh Sankaranarayanan Victor Hugo c.de Albuquerque joel j.p.c.rodrigues cMR Institute of Technology Bengaluru 560037India SRM Institute of Science and Technology Chennai 603203India University of Fortaleza(Unifor) FortalezaCE 60811-905Brazil Federal University of piaui Teresina-PI64049-550Brazil Instituto de Telecomunicacoes 1049-001 LisboaPortugal

Advanced Metering Infrastructure(AMI)forms an important part in Smart *** the data effectively from smart meters to the Edge/Fog node requires an efficient routing *** protocol for Low power Lossy Area Network(RpL)is a standard routing protocol for Ipv6 over Low power personal Area Network(6LoWpAN).In a power Distribution system all the smart meters together form 6LoWpAN *** communicate with the fog router,which acts as the 6LoWpAN *** was evaluated using cooja Network simulator for a power distribution network *** nodes which were far away from the fog node gave low packet Delivery Ratio(pDR)and large End to End *** paper proposes an aggregation RpL scheme by modifying the existing contiki *** smart meter nodes communicate to the aggregator,which communicates to the fog *** results show that the aggregation scheme has 35.6%increase in pDR,lesser hop count and 13.24%decrease in End to End delay on an average compared to existing RpL.

关键词： IoT 6LoWpAN RpL routing distribution automation smart grid fog computing

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Three Tier Fog Networks: Enabling IoT/5G for Latency Sensitive Applications

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china communications 2019年第3期16卷 1-11页

作者： Romana Shahzadi Ambreen Niaz Mudassar Ali Muhammad Naeem joel j.p.c.rodrigues Farhan Qamar Syed Muhammad Anwar University Engineering and Technology cOMSATS University Islamabad Wah campus National Institute of Telecommunications (Inatel) Instituto de Telecomunicac??es University ITMO University of Fortaleza (Unifor)

Following the progression in Internet of Things(IoT) and 5G communication networks, the traditional cloud computing model have shifted to fog computing. Fog computing provides mobile computing, network control and storage to the network edges to assist latency critical and computation-intensive applications. Moreover, security features are improved in fog paradigm by processing critical data on edge devices instead of data centres outside the control plane of users. However, fog network deployment imposes many challenges including resource allocation, privacy of users, non-availability of programming model and testing software and support for the heterogenous networks. This article highlights these challenges and their potential solutions in detail. This article also discusses threetier fog network architecture, its standardization and benefits in detail. The proposed resource allocation mechanism for three tier fog networks based on swap matching is described. Results show that by practicing the proposed resource allocation mechanism, maximum throughput with reduced latency is achieved.

关键词： cloud computing fog networks matching games internet of things

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GUEST EDITORIAL

china communications 2015年第4期 6-7页

作者： YANG jijiang LI jianqiang joel j.p.c.rodrigues Tsinghua University e-health research center in RUT of Tsinghua University the Department of Informatics of the University of Beira Interior CovilhaPortugal he Instituto de Telecomunicacoes Portugal

Medical industry is one of the largest and fastest-growing parts of a country's economy,where the involved products and services cover the diagnosis,treatment,and prevention of disease,injury,and other physical and mental impairments in *** expectations on improving the quality of medical services while simultaneously reducing the service cost pose a big challenge to the modem medical *** the science

关键词： GUEST EDITORIAL RFID

Selective cluster-Based Temperature Monitoring System for Homogeneous Wireless Sensor Networks

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ZTE communications 2014年第3期12卷 22-29页

作者： Sudhanshu Tyagi Sudeep Tanwar Sumit Kumar Gupta Neeraj Kumar joel j.p.c.rodrigues Department of Electronics and communication Engineering J. P. Institute of Enginerring and Technology (JPIET) Department of Information Technology Bharat Institute of Technology Department of Electronics and communication Engineering Institute of Information & Management Technology (IIMT) Department of computer Science and Engineering Thapar University Instituto de Telecomunicaōes University of Beira Interior University ITMO

Over the past few decades, there has been a revolution in IcT, and this has led to the evolution of wireless sensor networks （WSN）, in particular, wireless body area networks. Such networks comprise a specialized collection of sensor nodes （SNs） that may be deployed randomly in a body area network to collect data from the human body. In a health monitoring system, it may be es-sential to maintain constant environmental conditions within a specific area in the hospital. In this paper, we propose a tempera-ture-monitoring system and describe a case study of a health-monitoring system for patents critically ill with the same disease and in the same environment. We propose Enhanced LEAcH Selective cluster （E-LEAcH-Sc） routing protocol for monitoring the tem-perature of an area in a hospital. We modified existing Selective cluster LEAcH protocol by using a fixed-distance-based thresh-old to divide the coverage region in two subregions. Direct data transmission and selective cluster-based data transmission ap-proaches were used to provide short-range and long-distance coverage for the collection of data from the body of ill patients. Ex-tensive simulations were run by varying the ratio of node densities of the two subregions in the health-monitoring system. Last Node Alive （LNA）, which is a measure of network lifespan, was the parameter for evaluating the performance of the proposed scheme. The simulation results show that the proposed scheme significantly increases network lifespan compared with traditional LEAcH and LEAcH-Sc protocols, which by themselves improve the overall performance of the health-monitoring system.

关键词： network lifespan sensor node LEAcH LNA

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Beyond cotton and polyester: An evaluation of emerging feedstocks and conversion methods for the future of fashion industry

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journal of Bioresources and Bioproducts 2024年第2期9卷 130-159页

作者： Ryen M.Frazier Keren A.Vivas Ivana Azuaje Ramon Vera Alonzo pifano Naycari Forfora Hasan jameel Ericka Ford joel j.pawlak Richard Venditti Ronalds Gonzalez Department of Forest Biomaterials North Carolina State UniversityRaleighNC 27695USA Department of Textile Engineering Chemistry and ScienceThe Nonwovens InstituteNorth Carolina State UniversityRaleighNC 27695USA

As the global population grows,the demand for textiles is increasing ***,this puts immense pressure on manufacturers to produce more *** synthetic fibers can be pro-duced cheaply,they have a negative impact on the *** the other hand,fibers from wool,sisal,fique,wood pulp(viscose),and man-made cellulose fibers(MMcFs)from cotton can-not alone meet the growing fiber demand without major stresses on land,water,and existing markets using these *** a greater emphasis on transparency and circular economy practices,there is a need to consider natural non-wood alternative sources for MMcFs to supple-ment other fiber ***,introducing new feedstocks with different compositions may require different biomass conversion ***,based on existing work,this review ad-dresses the technical feasibility of various alternative feedstocks for conversion to textile-grade ***,alternative feedstocks are introduced,and then conventional(dissolving pulp)and emerging(fibrillated cellulose and recycled material)conversion technologies are evaluated to help select the most suitable and promising processes for these emerging alternative sources of *** is important to note that for alternative feedstocks to be adopted on a meaningful scale,high biomass availability and proximity of conversion facilities are critical *** North America,soybean,wheat,rice,sorghum,and sugarcane residues are widely available and most suitable for conventional conversion through various dissolving pulp production methods(pre-hydrolysis kraft,acid sulfite,soda,SO2-ethanol-water,and potassium hydroxide)or by emerging cellulose fibrillation *** dissolving pulp conversion is well-established,fibrillated cel-lulose methods could be beneficial from cost,efficiency,and environmental ***,the authors strongly encourage more work in this growing research ***,conducting thorough cost and sustainability assessment

关键词： Non-wood Residue Regenerated cellulose Dissolving pulp Man-made cellulose fiber Apparel textile

Design of Human Adaptive Mechatronics controller for Upper Limb Motion Intention prediction

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computers, Materials & continua 2022年第4期71卷 1171-1188页

作者： R.joshua Samuel Raj j.prince Antony joel Salem Alelyani Mohammed Saleh Alsaqer c.Anand Deva Durai Department of Information Science&Engineering CMR Institute of TechnologyBengaluruIndia Department of Mechatronics Engineering Rajas Engineering CollegeTirunelveliIndia center for Artificial Intelligence King Khalid UniversityAbhaKingdom of Saudi Arabia college of computer Science King Khalid UniversityAbhaKingdom of Saudi Arabia

Human Adaptive Mechatronics(HAM)includes human and computer system in a closed *** person with disabilities,normally carry out their daily routines with some assistance to move their *** the short fall of human care takers,mechatronics devices are used with the likes of exoskeleton and exosuits to assist *** rehabilitation and occupational therapy equipments utilize the electromyography(EMG)signals to measure the muscle activity *** paper focuses on optimizing the HAM model in prediction of intended motion of upper limb with high accuracy and to increase the response time of the *** characteristics extraction from EMG signal and prediction of optimal controller parameters are *** and frequency based approach of EMG signal are considered for feature *** models used for estimating motion and muscle parameters from EMG signal for carrying out limb movement predictions are *** on the extracted features,optimal parameters are selected by Modified Lion Optimization(MLO)for controlling the HAM ***,supervised machine learning makes predictions at different points in time for individual sensing using Support Vector Neural Network(SVNN).This model is also evaluated based on optimal parameters of motion estimation and the accuracy level along with different optimization models for various upper limb *** proposed model of human adaptive controller predicts the limb movement by 96%accuracy.

关键词： Exoskeleton electromyography(emg) human adaptive mechatronics occupational therapy motion prediction machine learning