Suresh Chavhan | Indian Institute of Science (original) (raw)
Papers by Suresh Chavhan
Sustainable Energy Technologies and Assessments, Dec 1, 2022
IEEE Internet of Things Journal, 2023
International Journal of Emerging Electric Power Systems, Feb 18, 2020
In this paper mathematical model for traffic pattern analysis, prediction and resource utilizatio... more In this paper mathematical model for traffic pattern analysis, prediction and resource utilization of Electric Vehicles (EV) in aggregator regions/parking lot zones is proposed. The proposed and presented mathematical model for EV traffic pattern/resource utilization in smart city can be used to estimate the amount of power/voltage available/required by EVs in different aggregator regions. Development of multiagent communication (MAC) based framework for aggregator to EV communication is discussed. V2G aggregation in distribution network forms a Physical part and utility side with sensing/communication forms a Cyber part which combinedly constitutes a Cyber-Physical system. Simulations were carried out on IEEE 33/69 bus test systems using MATLAB and MOBILE C was used for MAC. The results obtained were promising in terms of improved voltage profile and reduced power losses.
ACM Transactions on Internet Technology, Nov 14, 2022
With the advancement of information and communication technologies (ICTs), there has been high-sc... more With the advancement of information and communication technologies (ICTs), there has been high-scale utilization of IoT and adoption of AI in the transportation system to improve the utilization of energy, reduce greenhouse gas (GHG) emissions, increase quality of services, and provide many extensive benefits to the commuters and transportation authorities. In this article, we propose a novel edge-based AI-IoT integrated energy-efficient intelligent transport system for smart cities by using a distributed multi-agent system. An urban area is divided into multiple regions, and each region is sub-divided into a finite number of zones. At each zone an optimal number of RSUs are installed along with the edge computing devices. The MAS deployed at each RSU collects a huge volume of data from the various sensors, devices, and infrastructures. The edge computing device uses the collected raw data from the MAS to process, analyze, and predict. The predicted information will be shared with the neighborhood RSUs, vehicles, and cloud by using MAS with the help of IoT. The predicted information can be used by freight vehicles to maintain smooth and steady movement, which results in reduction in GHG emissions and energy consumption, and finally improves the freight vehicles’ mileage by reducing traffic congestion in the urban areas. We have exhaustively carried out the simulation results and demonstrated the effectiveness of the proposed system.
Journal on vehicle routing algorithms, Mar 18, 2019
A metropolitan area experiences transport resource scarcities and dynamic resource allocation pro... more A metropolitan area experiences transport resource scarcities and dynamic resource allocation problems due to huge number of commuters' population, dynamic commuters' arrival rates, etc. The progress of these problems results into economic loss, traffic congestion, inefficient utilization of resources and increase in indefinite waiting time of commuters. Hence, we propose a dynamic transport resource allocation scheme. The scheme efficiently manages number of vehicles over time and space using emergent intelligence (EI) technique. Based on the historical information, commuters' arrival rates, resource availability, deficit resources, surplus resources of neighbor depots, etc., the EI technique with agents is used for collecting, analyzing, sharing and allocating resources, for optimal utilization of resources in a metropolitan area. Analytical model of EI technique-based transport resource allocation scheme is developed using Markov chain, and derived the closed-form expression of optimal utilization of resources. Performance evaluation is carried out with varying number of commuters' arrival rates, vehicles, requests and number of neighborhood depots. We observe that results obtained in the simulation and analysis reflect the effectiveness of the proposed scheme in a metropolitan area. Keywords Agents • Depot • Emergent intelligence technique • Metropolitan area • Markov chain model • Vehicular allocation B Suresh Chavhan
IEEE Systems Journal, Dec 1, 2020
An intelligent transportation system in a metropolitan area is dynamic and prone to many external... more An intelligent transportation system in a metropolitan area is dynamic and prone to many external and internal attacks. These attacks result into modification, controlling, accessing, and altering private and public information of transport depots and their communicating agents. In this article, we have proposed a novel agent pseudonymous authentication with a conditional privacy preservation scheme in a metropolitan area. The proposed scheme utilizes identity-based encryption and a Boneh–Lynn–Shacham signature scheme for authentication, pseudonyms based for privacy preservation, and public key cryptography for pseudonyms generation. It achieves privacy preservation of depot's information. The primary objective of the proposed scheme is to protect privacy of communicating agents of transport depots during exchange of information (such as surplus and deficit vehicles and vehicles dispatch allocation and revocation). The proposed scheme is capable of avoiding the presence of impersonate genuine and malicious agents at transport depot. The proposed scheme uses an emergent intelligence technique for collecting, sharing, and analyzing transportation information. In addition, it also takes dynamic decisions for protecting privacy of transport depot's communicating agents. In this article, first, formal security proofs of the proposed scheme has been carried out using ProVerif tool, and second, Crypto++ package is used for the experimental and performance analysis. The experimental results reveal that the proposed scheme efficiently preserves privacy of transport depots’ communicating agents.
IEEE Transactions on Intelligent Transportation Systems, Aug 1, 2021
Public transport systems in a metropolitan area experiences several complex issues, like resource... more Public transport systems in a metropolitan area experiences several complex issues, like resource scarcity, resource allocation, congestion, resource reliability and so on, due to the dynamic arrivals of heterogeneous commuter and exceptional occurrence of unforeseen events. The progress of these issues may lead to economic losses, under-utilization of transport resources, and commuters’ queuing delay. In this paper, we propose a novel dynamic public transport vehicle allocation scheme based on Emergent Intelligence (EI) technique in a metropolitan area. In addition, we demonstrate the EI technique’s capability for solving public transport system problems. To do so, the EI technique maintains historical information, commuters’ arrival rates, resource avaialability, deficit resources and surplus resources of neighbor depots’s agent. In the proposed scheme, the EI technique is utilized to collect, analyze, share and optimally allocate transport resources effectively. The proposed EI technique provides reliable services (allocation and scheduling) by coordinating with a reliable neighborhood depot’s agent. We have build mathematical models for estimation of resources, utilization and reliability parameters. The proposed scheme is exhaustively tested by simulation and analyzed with varying commuters’ arrival rates, number of vehicles, number of requests, and different values of reliability parameters. The proposed scheme’s results (analytical, simulation and comparison) show the reliabiltiy, accuracy and real time deployability.
Communications in computer and information science, 2013
In this paper we have proposed a Wireless Sensor Network (WSN) System and developed sensor node t... more In this paper we have proposed a Wireless Sensor Network (WSN) System and developed sensor node to monitor the Poultry farm and detect the highly pathogenic avian influenza virus in Chickens. WSN's have tremendous potential and play a key role in such monitoring applications. The developed wireless sensor node monitors the body temperature and movement of the Chickens. Based on sudden variation in body temperature and slow movements of the Chicken, early detection of virus is possible. The proposed low cost WSN System was developed with the use of open source technology-ARDUINO (open electronics prototype and open source).
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech), Jul 5, 2022
2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)
IEEE Internet of Things Journal, Jul 1, 2020
Public transportation system (PTS) in a metropolitan area is a nonlinear, dynamic and complex sys... more Public transportation system (PTS) in a metropolitan area is a nonlinear, dynamic and complex system. The managing and providing suitable public transportation services are difficult. In this paper, we proposed an internet of thingbased intelligent public transportation system (IoT-IPTS) in a metropolitan area. An IoT is used to interconnect transportation entities, such as vehicles, commuters (mobile phones), routes (sensors), roadside units (RSUs), etc., in a metropolitan area. The IoTs provide the seamless connectivity between different networking technologies whenever the commuters or vehicles move from one location to another locations. Hence, IoT provides the suitable seamless public transportation services in the metropolitan area. In addition, we have used context information of transporation entities, such as routes condition, traffic density, number of routes available, traffic congestion, vehicles movement and their mobility, which are stored in the cloud. The stored context information in cloud along with the IoTs are used to find the relevant routes, alternative modes, departure times and many more for providing public transportation services in a metropolitan area. The proposed IoT-IPTS makes use of static and mobile agents with Emergent Intelligence technique (EIT) for collecting, analyzing and sharing context information. The analyzed context information are used to form the policies to provide the best available public transportation services to the commuters in a metropolitan area. Software defined network used to enable the cloud computing and EI network to manage the public transportation services to the commuters.
IEEE Internet of Things Journal, 2023
The International Journal of Advanced Manufacturing Technology
Computational Intelligence for Sustainable Transportation and Mobility, 2021
Computational Intelligence for Sustainable Transportation and Mobility, 2021
Mathematics
With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand fo... more With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand for EV charging infrastructure. The present charging infrastructure in the market requires a lot of space and sometimes leads to traffic congestion, increasing the risk of accidents and obstruction of emergency vehicles. As the current infrastructure requires ample space, the cost of setting up this charging infrastructure becomes very high in metropolitan cities. In addition, there are a lot of adverse effects on the power grid due to the integration of EVs. This paper discusses a space-efficient charging infrastructure and multi-agent system-based power grid balance to overcome these issues. The proposed multi-level EV charging station can save a lot of space and reduce traffic congestion as more vehicles can be accommodated in the space. Depending on the size, capacity, and type of multi-level vehicle charging system, it can serve as a reliable charging solution at sites with medium and...
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
ACM Transactions on Internet Technology (TOIT), 2022
Advancement of information and communication technologies (ICTs) there is high-scale utilization ... more Advancement of information and communication technologies (ICTs) there is high-scale utilization of IoT and adoption of AI in the transportation system to improve the utilization of energy, reduce greenhouse gas (GHG) emissions, increase quality of services and many extensive benefits to the commuters’ and transportation authorities. In this paper, we propose a novel edge-based AI-IoT integrated energy efficient intelligent transport system for smart cities by using distributed multi-agent system. An urban area is divided into multiple number of regions and each region is sub-divided into finite number of zones. At each zone optimal number of RSUs are installed along with the edge computing devices. The MAS deployed at each RSU collects the huge volume of data from the various sensors, devices and infrastructures. The edge computing device uses the collected raw data from the MAS to process, analyze and predict. The predicted information will be shared with the neighborhood RSUs, ve...
Sustainable Energy Technologies and Assessments, Dec 1, 2022
IEEE Internet of Things Journal, 2023
International Journal of Emerging Electric Power Systems, Feb 18, 2020
In this paper mathematical model for traffic pattern analysis, prediction and resource utilizatio... more In this paper mathematical model for traffic pattern analysis, prediction and resource utilization of Electric Vehicles (EV) in aggregator regions/parking lot zones is proposed. The proposed and presented mathematical model for EV traffic pattern/resource utilization in smart city can be used to estimate the amount of power/voltage available/required by EVs in different aggregator regions. Development of multiagent communication (MAC) based framework for aggregator to EV communication is discussed. V2G aggregation in distribution network forms a Physical part and utility side with sensing/communication forms a Cyber part which combinedly constitutes a Cyber-Physical system. Simulations were carried out on IEEE 33/69 bus test systems using MATLAB and MOBILE C was used for MAC. The results obtained were promising in terms of improved voltage profile and reduced power losses.
ACM Transactions on Internet Technology, Nov 14, 2022
With the advancement of information and communication technologies (ICTs), there has been high-sc... more With the advancement of information and communication technologies (ICTs), there has been high-scale utilization of IoT and adoption of AI in the transportation system to improve the utilization of energy, reduce greenhouse gas (GHG) emissions, increase quality of services, and provide many extensive benefits to the commuters and transportation authorities. In this article, we propose a novel edge-based AI-IoT integrated energy-efficient intelligent transport system for smart cities by using a distributed multi-agent system. An urban area is divided into multiple regions, and each region is sub-divided into a finite number of zones. At each zone an optimal number of RSUs are installed along with the edge computing devices. The MAS deployed at each RSU collects a huge volume of data from the various sensors, devices, and infrastructures. The edge computing device uses the collected raw data from the MAS to process, analyze, and predict. The predicted information will be shared with the neighborhood RSUs, vehicles, and cloud by using MAS with the help of IoT. The predicted information can be used by freight vehicles to maintain smooth and steady movement, which results in reduction in GHG emissions and energy consumption, and finally improves the freight vehicles’ mileage by reducing traffic congestion in the urban areas. We have exhaustively carried out the simulation results and demonstrated the effectiveness of the proposed system.
Journal on vehicle routing algorithms, Mar 18, 2019
A metropolitan area experiences transport resource scarcities and dynamic resource allocation pro... more A metropolitan area experiences transport resource scarcities and dynamic resource allocation problems due to huge number of commuters' population, dynamic commuters' arrival rates, etc. The progress of these problems results into economic loss, traffic congestion, inefficient utilization of resources and increase in indefinite waiting time of commuters. Hence, we propose a dynamic transport resource allocation scheme. The scheme efficiently manages number of vehicles over time and space using emergent intelligence (EI) technique. Based on the historical information, commuters' arrival rates, resource availability, deficit resources, surplus resources of neighbor depots, etc., the EI technique with agents is used for collecting, analyzing, sharing and allocating resources, for optimal utilization of resources in a metropolitan area. Analytical model of EI technique-based transport resource allocation scheme is developed using Markov chain, and derived the closed-form expression of optimal utilization of resources. Performance evaluation is carried out with varying number of commuters' arrival rates, vehicles, requests and number of neighborhood depots. We observe that results obtained in the simulation and analysis reflect the effectiveness of the proposed scheme in a metropolitan area. Keywords Agents • Depot • Emergent intelligence technique • Metropolitan area • Markov chain model • Vehicular allocation B Suresh Chavhan
IEEE Systems Journal, Dec 1, 2020
An intelligent transportation system in a metropolitan area is dynamic and prone to many external... more An intelligent transportation system in a metropolitan area is dynamic and prone to many external and internal attacks. These attacks result into modification, controlling, accessing, and altering private and public information of transport depots and their communicating agents. In this article, we have proposed a novel agent pseudonymous authentication with a conditional privacy preservation scheme in a metropolitan area. The proposed scheme utilizes identity-based encryption and a Boneh–Lynn–Shacham signature scheme for authentication, pseudonyms based for privacy preservation, and public key cryptography for pseudonyms generation. It achieves privacy preservation of depot's information. The primary objective of the proposed scheme is to protect privacy of communicating agents of transport depots during exchange of information (such as surplus and deficit vehicles and vehicles dispatch allocation and revocation). The proposed scheme is capable of avoiding the presence of impersonate genuine and malicious agents at transport depot. The proposed scheme uses an emergent intelligence technique for collecting, sharing, and analyzing transportation information. In addition, it also takes dynamic decisions for protecting privacy of transport depot's communicating agents. In this article, first, formal security proofs of the proposed scheme has been carried out using ProVerif tool, and second, Crypto++ package is used for the experimental and performance analysis. The experimental results reveal that the proposed scheme efficiently preserves privacy of transport depots’ communicating agents.
IEEE Transactions on Intelligent Transportation Systems, Aug 1, 2021
Public transport systems in a metropolitan area experiences several complex issues, like resource... more Public transport systems in a metropolitan area experiences several complex issues, like resource scarcity, resource allocation, congestion, resource reliability and so on, due to the dynamic arrivals of heterogeneous commuter and exceptional occurrence of unforeseen events. The progress of these issues may lead to economic losses, under-utilization of transport resources, and commuters’ queuing delay. In this paper, we propose a novel dynamic public transport vehicle allocation scheme based on Emergent Intelligence (EI) technique in a metropolitan area. In addition, we demonstrate the EI technique’s capability for solving public transport system problems. To do so, the EI technique maintains historical information, commuters’ arrival rates, resource avaialability, deficit resources and surplus resources of neighbor depots’s agent. In the proposed scheme, the EI technique is utilized to collect, analyze, share and optimally allocate transport resources effectively. The proposed EI technique provides reliable services (allocation and scheduling) by coordinating with a reliable neighborhood depot’s agent. We have build mathematical models for estimation of resources, utilization and reliability parameters. The proposed scheme is exhaustively tested by simulation and analyzed with varying commuters’ arrival rates, number of vehicles, number of requests, and different values of reliability parameters. The proposed scheme’s results (analytical, simulation and comparison) show the reliabiltiy, accuracy and real time deployability.
Communications in computer and information science, 2013
In this paper we have proposed a Wireless Sensor Network (WSN) System and developed sensor node t... more In this paper we have proposed a Wireless Sensor Network (WSN) System and developed sensor node to monitor the Poultry farm and detect the highly pathogenic avian influenza virus in Chickens. WSN's have tremendous potential and play a key role in such monitoring applications. The developed wireless sensor node monitors the body temperature and movement of the Chickens. Based on sudden variation in body temperature and slow movements of the Chicken, early detection of virus is possible. The proposed low cost WSN System was developed with the use of open source technology-ARDUINO (open electronics prototype and open source).
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech), Jul 5, 2022
2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)
IEEE Internet of Things Journal, Jul 1, 2020
Public transportation system (PTS) in a metropolitan area is a nonlinear, dynamic and complex sys... more Public transportation system (PTS) in a metropolitan area is a nonlinear, dynamic and complex system. The managing and providing suitable public transportation services are difficult. In this paper, we proposed an internet of thingbased intelligent public transportation system (IoT-IPTS) in a metropolitan area. An IoT is used to interconnect transportation entities, such as vehicles, commuters (mobile phones), routes (sensors), roadside units (RSUs), etc., in a metropolitan area. The IoTs provide the seamless connectivity between different networking technologies whenever the commuters or vehicles move from one location to another locations. Hence, IoT provides the suitable seamless public transportation services in the metropolitan area. In addition, we have used context information of transporation entities, such as routes condition, traffic density, number of routes available, traffic congestion, vehicles movement and their mobility, which are stored in the cloud. The stored context information in cloud along with the IoTs are used to find the relevant routes, alternative modes, departure times and many more for providing public transportation services in a metropolitan area. The proposed IoT-IPTS makes use of static and mobile agents with Emergent Intelligence technique (EIT) for collecting, analyzing and sharing context information. The analyzed context information are used to form the policies to provide the best available public transportation services to the commuters in a metropolitan area. Software defined network used to enable the cloud computing and EI network to manage the public transportation services to the commuters.
IEEE Internet of Things Journal, 2023
The International Journal of Advanced Manufacturing Technology
Computational Intelligence for Sustainable Transportation and Mobility, 2021
Computational Intelligence for Sustainable Transportation and Mobility, 2021
Mathematics
With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand fo... more With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high demand for EV charging infrastructure. The present charging infrastructure in the market requires a lot of space and sometimes leads to traffic congestion, increasing the risk of accidents and obstruction of emergency vehicles. As the current infrastructure requires ample space, the cost of setting up this charging infrastructure becomes very high in metropolitan cities. In addition, there are a lot of adverse effects on the power grid due to the integration of EVs. This paper discusses a space-efficient charging infrastructure and multi-agent system-based power grid balance to overcome these issues. The proposed multi-level EV charging station can save a lot of space and reduce traffic congestion as more vehicles can be accommodated in the space. Depending on the size, capacity, and type of multi-level vehicle charging system, it can serve as a reliable charging solution at sites with medium and...
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
ACM Transactions on Internet Technology (TOIT), 2022
Advancement of information and communication technologies (ICTs) there is high-scale utilization ... more Advancement of information and communication technologies (ICTs) there is high-scale utilization of IoT and adoption of AI in the transportation system to improve the utilization of energy, reduce greenhouse gas (GHG) emissions, increase quality of services and many extensive benefits to the commuters’ and transportation authorities. In this paper, we propose a novel edge-based AI-IoT integrated energy efficient intelligent transport system for smart cities by using distributed multi-agent system. An urban area is divided into multiple number of regions and each region is sub-divided into finite number of zones. At each zone optimal number of RSUs are installed along with the edge computing devices. The MAS deployed at each RSU collects the huge volume of data from the various sensors, devices and infrastructures. The edge computing device uses the collected raw data from the MAS to process, analyze and predict. The predicted information will be shared with the neighborhood RSUs, ve...