Published: Aug 25, 2021
Converted to Gold OA:
DOI: 10.4018/IJSIR.20220401.oa7
Volume 13
Ankit Temurnikar, Pushpneel Verma, Gaurav Dhiman
VANET (Vehicle Ad-hoc Network) is an emerging technology in today’s intelligent transport system. In VANET, there are many moving nodes which are called the vehicle running on the road. They...
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VANET (Vehicle Ad-hoc Network) is an emerging technology in today’s intelligent transport system. In VANET, there are many moving nodes which are called the vehicle running on the road. They communicate with each other to provide the information to driver regarding the road condition, traffic, weather and parking. VANET is a kind of network where moving nodes talk with each other with the help of equipment. There are various other things which also make complete to VANET like OBU (onboard unit), RSU (Road Aside Unit) and CA (Certificate authority). In this paper, a new PSO enable multi-hop technique is proposed which helps in VANET to Select the best route and find the stable cluster head and remove the malicious node from the network to avoid the false messaging. The false can be occurred when there is the malicious node in a network. Clustering is a technique for making a group of the same type node. This proposed work is based on PSO enable clustering and its importance in VANET. While using this approach in VANET, it has increased the 20% packet delivery ratio.
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Temurnikar, Ankit, et al. "A PSO Enable Multi-Hop Clustering Algorithm for VANET." IJSIR vol.13, no.2 2022: pp.1-14. http://doi.org/10.4018/IJSIR.20220401.oa7
APA
Temurnikar, A., Verma, P., & Dhiman, G. (2022). A PSO Enable Multi-Hop Clustering Algorithm for VANET. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-14. http://doi.org/10.4018/IJSIR.20220401.oa7
Chicago
Temurnikar, Ankit, Pushpneel Verma, and Gaurav Dhiman. "A PSO Enable Multi-Hop Clustering Algorithm for VANET," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-14. http://doi.org/10.4018/IJSIR.20220401.oa7
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Published: Dec 3, 2021
Converted to Gold OA:
DOI: 10.4018/IJSIR.287544
Volume 13
Mukesh Soni, S. Gomathi, Pankaj Kumar, Prathamesh P. Churi, Mazin Abed Mohammed, Akbal Omran Salman
Pulmonary disease is widespread worldwide. There is persistent blockage of the lungs, pneumonia, asthma, TB, etc. It is essential to diagnose the lungs promptly. For this reason, machine learning...
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Pulmonary disease is widespread worldwide. There is persistent blockage of the lungs, pneumonia, asthma, TB, etc. It is essential to diagnose the lungs promptly. For this reason, machine learning models were developed. For lung disease prediction, many deep learning technologies, including the CNN, and the capsule network, are used. The fundamental CNN has low rotating, inclined, or other irregular image orientation efficiency. Therefore by integrating the space transformer network (STN) with CNN, we propose a new hybrid deep learning architecture named STNCNN. The new model is implemented on the dataset from the Kaggle repository for an NIH chest X-ray image. STNCNN has an accuracy of 69% in respect of the entire dataset, while the accuracy values of vanilla grey, vanilla RGB, hybrid CNN are 67.8%, 69.5%, and 63.8%, respectively. When the sample data set is applied, STNCNN takes much less time to train at the cost of a slightly less reliable validation. Therefore both specialists and physicians are simplified by the proposed STNCNN System for the diagnosis of lung disease.
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Soni, Mukesh, et al. "Hybridizing Convolutional Neural Network for Classification of Lung Diseases." IJSIR vol.13, no.2 2022: pp.1-15. http://doi.org/10.4018/IJSIR.287544
APA
Soni, M., Gomathi, S., Kumar, P., Churi, P. P., Mohammed, M. A., & Salman, A. O. (2022). Hybridizing Convolutional Neural Network for Classification of Lung Diseases. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-15. http://doi.org/10.4018/IJSIR.287544
Chicago
Soni, Mukesh, et al. "Hybridizing Convolutional Neural Network for Classification of Lung Diseases," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-15. http://doi.org/10.4018/IJSIR.287544
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Published: Dec 16, 2021
Converted to Gold OA:
DOI: 10.4018/IJSIR.287545
Volume 13
Rajit Nair, Mueksh Soni, Bhavna Bajpai, Gaurav Dhiman, K. Martin Sagayam
Nowadays, COVID-19 is considered to be the biggest disaster that the world is facing. It has created a lot of destruction in the whole world. Due to this COVID-19, analysis has been done to predict...
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Nowadays, COVID-19 is considered to be the biggest disaster that the world is facing. It has created a lot of destruction in the whole world. Due to this COVID-19, analysis has been done to predict the death rate and infected rate from the total population. To perform the analysis on COVID-19, regression analysis has been implemented by applying the differential equation and ordinary differential equation (ODE) on the parameters. The parameters taken for analysis are the number of susceptible individuals, the number of Infected Individuals, and the number of Recovered Individuals. This work will predict the total cases, death cases, and infected cases in the near future based on different reproductive rate values. This work has shown the comparison based on 4 different productive rates i.e. 2.45, 2.55, 2.65, and 2.75. The analysis is done on two different datasets; the first dataset is related to China, and the second dataset is associated with the world's data. The work has predicted that by 2020-08-12: 59,450,123 new cases and 432,499,003 total cases and 10,928,383 deaths.
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Nair, Rajit, et al. "Predicting the Death Rate Around the World Due to COVID-19 Using Regression Analysis." IJSIR vol.13, no.2 2022: pp.1-13. http://doi.org/10.4018/IJSIR.287545
APA
Nair, R., Soni, M., Bajpai, B., Dhiman, G., & Sagayam, K. M. (2022). Predicting the Death Rate Around the World Due to COVID-19 Using Regression Analysis. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-13. http://doi.org/10.4018/IJSIR.287545
Chicago
Nair, Rajit, et al. "Predicting the Death Rate Around the World Due to COVID-19 Using Regression Analysis," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-13. http://doi.org/10.4018/IJSIR.287545
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Published: Dec 17, 2021
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DOI: 10.4018/IJSIR.287546
Volume 13
Suseela S., Eswari R., Nickolas Savarimuthu
Wireless Multimedia Sensor Networks (WMSNs) have been used in many applications and powerful distributed systems. But the performance of WMSNs is suffering from the occurrence of energy holes. To...
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Wireless Multimedia Sensor Networks (WMSNs) have been used in many applications and powerful distributed systems. But the performance of WMSNs is suffering from the occurrence of energy holes. To improve the performance of the network and packet delivery ratio, a Voronoi-Ant colony based Routing (VoR-Ant-R) algorithm is proposed for WMSNs to discover the energy holes and finds the shortest path from the source to destination in the WMSNs even though faces some obstacles. The WMSNs are constructed using the Voronoi structure to bypass energy holes. After bypassing the energy hole in the path; an ACO is introduced to select a neighborhood node for data forwarding. This ACO constructs the shortest optimized path to enhance the performance of the WMSNs. The proposed work is experimentally compared with other algorithms such as IEEABR, EEABR, SC, and BEES. The simulation results show that VoR-Ant-R can increase energy efficiency, success rate, reduces energy consumption, and latency.
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Suseela S., et al. "A Voronoi-Ant Colony-Based Routing (VoR-Ant-R) Algorithm for WMSNs." IJSIR vol.13, no.2 2022: pp.1-19. http://doi.org/10.4018/IJSIR.287546
APA
Suseela S., Eswari R., & Savarimuthu, N. (2022). A Voronoi-Ant Colony-Based Routing (VoR-Ant-R) Algorithm for WMSNs. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-19. http://doi.org/10.4018/IJSIR.287546
Chicago
Suseela S., Eswari R., and Nickolas Savarimuthu. "A Voronoi-Ant Colony-Based Routing (VoR-Ant-R) Algorithm for WMSNs," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-19. http://doi.org/10.4018/IJSIR.287546
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Published: Feb 17, 2022
Converted to Gold OA:
DOI: 10.4018/IJSIR.287547
Volume 13
Vrajesh Kumar Chawra, Govind P. Gupta
This paper investigates sensing data acquisition issues from large-scale hazardous environments using UAVs-assisted WSNs. Most of the existing schemes suffer from low scalability, high latency, low...
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This paper investigates sensing data acquisition issues from large-scale hazardous environments using UAVs-assisted WSNs. Most of the existing schemes suffer from low scalability, high latency, low throughput, and low service time of the deployed network. To overcome these issues, we considered a clustered WSN architecture in which multiple UAVs are dispatched with assigned path knowledge for sensing data acquisition from each cluster heads (CHs) of the network. This paper first presents a non-cooperative Game Theory (GT)-based CHs selection algorithm and load balanced cluster formation scheme. Next, to provide timely delivery of sensing information using UAVs, hybrid meta-heuristic based optimal path planning algorithm is proposed by combing the best features of Dolphin Echolocation and Crow Search meta-heuristic techniques. In this research work, a novel objective function is formulated for both load-balanced CHs selection and for optimal the path planning problem. Results analyses demonstrate that the proposed scheme significantly performs better than the state-of-art schemes.
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Chawra, Vrajesh Kumar, and Govind P. Gupta. "Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks." IJSIR vol.13, no.2 2022: pp.1-27. http://doi.org/10.4018/IJSIR.287547
APA
Chawra, V. K. & Gupta, G. P. (2022). Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-27. http://doi.org/10.4018/IJSIR.287547
Chicago
Chawra, Vrajesh Kumar, and Govind P. Gupta. "Towards Design of an Efficient Sensing Data Acquisition Scheme for UAVs-Assisted Wireless Sensor Networks," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-27. http://doi.org/10.4018/IJSIR.287547
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Published: Dec 16, 2021
Converted to Gold OA:
DOI: 10.4018/ijsir.287548
Volume 13
Anandkumar V., Kalaiarasan T. R., A. M. Ratheeshkumar, Thangadurai N.
Due to the absence of routing initiation, the routing protocol requires a secure message transition. The key downside is that there are many current routing protocols. The big downside is the...
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Due to the absence of routing initiation, the routing protocol requires a secure message transition. The key downside is that there are many current routing protocols. The big downside is the inability of the node to give a message when the attackers are routing. The key attack in the proposed routing model is Distributed Denial of Service (DDOS). The Protected Geographic Routing Protocol (SGRP) is the assured routing carried out in the proposed work. The Protected Geographic Routing Protocol (SGRP) will improve the efficiency of the transmission method by choosing a specific source node. The paper suggested that the Protected Spatial Routing Protocol (PSRP) would recognize and isolate such threats. Several modeling time estimation studies have been carried out to analyze the simulation time and the efficiency of the proposed routing technique. The proposed routing technique demonstrates the performance by calculating the Packets Delivery Ratio(PDR) and Energy consumption. The Routing protocol is used in many applications such as the Industrial Internet of Things (IoT)
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Anandkumar V., et al. "Defense and Detection of DDOS Attack Using Secured Geographic Routing." IJSIR vol.13, no.2 2022: pp.1-13. http://doi.org/10.4018/ijsir.287548
APA
Anandkumar V., Kalaiarasan T. R., Ratheeshkumar, A. M., & Thangadurai N. (2022). Defense and Detection of DDOS Attack Using Secured Geographic Routing. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-13. http://doi.org/10.4018/ijsir.287548
Chicago
Anandkumar V., et al. "Defense and Detection of DDOS Attack Using Secured Geographic Routing," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-13. http://doi.org/10.4018/ijsir.287548
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Published: Dec 10, 2021
Converted to Gold OA:
DOI: 10.4018/IJSIR.287549
Volume 13
Vishal Jagota, Monica Luthra, Jyoti Bhola, Ashutosh Sharma, Mohammad Shabaz
A novel secure energy aware game theory (SEGaT) method has proposed to have better coordination in wireless sensor actor networks. An actor has a cluster of sensor nodes which is required to perform...
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A novel secure energy aware game theory (SEGaT) method has proposed to have better coordination in wireless sensor actor networks. An actor has a cluster of sensor nodes which is required to perform different action based on the need that emerge in the network individually or sometime with coordination from other actors. The method has different stages for the fulfilment of these actions. Based on energy aware actor selection (EAAS), selection of number of actors and their approach is the initial step followed by the selection of best team of sensors with each actor to carry out the action and lastly the selection of reliable node within that team to finally nail the action into place in the network for its smooth working and minimum compromise in the energy The simulations are done in MATLAB and result of the energy and the packet delivery ratio are compared with game theory (GaT) and real time energy constraint (RTEC) method. The proposed protocol performs better in terms of energy consumption, packet delivery ratio as compared to its competitive protocols.
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Jagota, Vishal, et al. "A Secure Energy-Aware Game Theory (SEGaT) Mechanism for Coordination in WSANs." IJSIR vol.13, no.2 2022: pp.1-16. http://doi.org/10.4018/IJSIR.287549
APA
Jagota, V., Luthra, M., Bhola, J., Sharma, A., & Shabaz, M. (2022). A Secure Energy-Aware Game Theory (SEGaT) Mechanism for Coordination in WSANs. International Journal of Swarm Intelligence Research (IJSIR), 13(2), 1-16. http://doi.org/10.4018/IJSIR.287549
Chicago
Jagota, Vishal, et al. "A Secure Energy-Aware Game Theory (SEGaT) Mechanism for Coordination in WSANs," International Journal of Swarm Intelligence Research (IJSIR) 13, no.2: 1-16. http://doi.org/10.4018/IJSIR.287549
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Published: Apr 1, 2022
Converted to Gold OA:
DOI: 10.4018/IJSIR.287552
Volume 13
Kottilingam Kottursamy
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