Faculty Publications
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Publications by NITK Faculty
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Item Cyber-Physical Systems: Historical Evolution and Role in Future Autonomous Transportation(Springer Science and Business Media Deutschland GmbH, 2022) Rudra, B.; Thanmayee, S.The revolutionary research and experiments in the field of computing and communicating technologies have resulted in a dramatic impact on the applications with societal and economic benefit. With the evolution of the Internet, it is now possible to connect every object or thing in the physical world. These things can communicate and also perform computations. It is now possible for humans to communicate with the physical things around us. This leads us to explore a whole new technology called Cyber Physical System (CPS). CPS combines computation, communication and control technologies in order to integrate the existing networked systems and embedded systems. It has modules to perform accurate data acquisition. These modules are basically distributed devices. Further the acquired data is sent to a layer of information processing as per the service requirements. There are enormous applications of CPS namely: digital medical devices, autonomous vehicles, robotic systems, intelligent highways, aerospace systems, industry automation, building and environment control and physical process control. Among the listed applications, autonomous transportation is evolving through the ongoing research trends. In autonomous transportation systems, there is a high requirement for reliable communication between the communicating entities, accurate data acquisition and processing and high computing capabilities. Thus CPS is a novel engineering system that can suit the requirements of autonomous transportation. In this chapter we discuss the evolution of CPS and its role in future autonomous transportation. We explore the research challenges in the CPS based on autonomous transportation. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item Stochastic dynamic programming model for optimal resource allocation in vehicular ad hoc networks(Springer India, 2018) Bhuvaneswari, M.; Paramasivan, B.; Kandasamy, A.Vehicular ad hoc network (VANET) is an emerging trend where vehicles communicate with each other and possibly with a roadside unit to assist various applications like monitoring, managing and optimizing the transportation system. Collaboration among vehicles is significant in VANET. Resource constraint is one of the great challenges of VANETs. Because of the absence of centralized management, there is pitfall in optimal resource allocation, which leads to ineffective routing. Effective reliable routing is quite essential to achieve intelligent transportation. Stochastic dynamic programming is currently employed as a tool to analyse, develop and solve network resource constraint and allocation issues of resources in VANET. We have considered this work as a geographical-angular-zone-based two-phase dynamic resource allocation problem with a homogeneous resource class. This work uses a stochastic dynamic programming algorithm based on relaxed approximation to generate optimal resource allocation strategies over time in response to past task completion status history. The second phase resource allocation uses the observed outcome of the first phase task completion to provide optimal viability in resulting decisions. The proposed work will be further extended for the scenario that deals with heterogeneous resource class. Simulation results show that the proposed scheme works significantly well for the problems with identical resources. © 2018, Indian Academy of Sciences.