Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Subject: search.filters.subject.Objective function

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    Assessment of objective functions under mobility in RPL
    (Springer Verlag, 2018) Sanshi, S.; Jaidhar, J.
    Due to the technological advancement in Low-power and Lossy Network (LLN), the sensor node mobility has become a basic requirement. Routing protocol designed for LLN must ensure certain requirements in a mobile environment such as reliability, flexibility, scalability to name a few. To meet the needs of LLN, Internet Engineering Task Force (IETF) released the standard IPv6 Routing Protocol for LLNs (RPL). RPL depends on Objective Function (OF) to select optimized routes from source to destination. However, the standard did not specify which OF to use. In this study, performance analysis of different OFs such as Objective Function zero (OF0), Energy-based Objective Function (OFE), Delay-Efficient Objective Function (OFDE), and Minimum Rank with Hysteresis Objective Function (MRHOF) is carried out under different mobility models, which makes this study unique. The metrics used to measure the performance are latency, packet delivery ratio (PDR), and power consumption. Simulation results demonstrate that under different mobility models, MRHOF achieved better results in terms of PDR and power consumption, while OFDE shows better results in terms of latency compared to other OFs. © Springer Nature Singapore Pte Ltd. 2018.
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    LBM combined with LM algorithm to estimate the unknown heat flux - A new inverse approach
    (Elsevier Ltd, 2019) Kumar, D.; Arumuga Perumal, D.A.; Gnanasekaran, N.; Kumar, M.K.
    The objective of the present work is the application of the Levenberg-Marquardt method as an inverse method for the estimation of the heat flux. In this paper inverse estimation of heat flux for a two-dimensional heat conduction problem is carried out. As a direct method, in the first attempt the solution of two-dimensional inverse heat conduction problem is formulated by using Lattice Boltzmann Method as a forward model. Later the solution to the problem is also obtained by using Finite Difference Method (FDM) as the forward model for the purpose of validation. Once the forward model is established, Levenberg-Marquardt Method is used as an inverse model to estimate the input parameter i.e. heat flux which is reported. A complete error analysis of inverse model with known values is performed. As the Lattice Boltzmann Method (LBM) is acclimatizing to parallel computation, its use is recommended in Levenberg-Marquardt method for the solution of inverse heat conduction problem which is evident from the results. © 2019 Elsevier Ltd.
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    Academic Curriculum Load Balancing using GA
    (Institute of Electrical and Electronics Engineers Inc., 2019) Chakradhar, M.; Charan, M.S.; Sai, R.U.; Kunal, M.; Vishnu Srinivasa Murthy, Y.V.S.; Koolagudi, G.K.
    In the paper, we propose an algorithm using genetic alogithm to find out the optimal solution for the academic load balancing problem. The load balancing problem is to optimize the load of credits per semester in an academic curriculum. In the proposed method, we try to distribute the course load as evenly as possible so that the deviation from the mean credit load per each semester is as minimal as possible. The objective function is to distribute the credit load among all the semesters evenly such that the deviation from the mean credits per semester is minimal. The proposed approach explores the solution space using only mutation operators and does not operate using crossover as the solutions obtained using cross over does not create any newer and better solutions in the solution space.The algorithm is applied on three data sets and the results are compared with the solutions obtained using the existing approaches. The results obtained using the state of the art solution are either better than approaches or on par with the state of art optimal solutions. The solution set obtained using the proposed approach is well spread out through out all the periods and all the periods contain almost mean number of credits. © 2019 IEEE.
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    Analysis of the Standard Objective Functions of RPL
    (Springer Science and Business Media Deutschland GmbH, 2022) Kamble, S.; Chandavarkar, B.R.
    Low power and Lossy Network (LLN) is a network widely used to connect objects nowadays, and routing in such type of network is a new research area to work. ROLL-WG developed a routing protocol for LLN called Routing Protocol for low power and lossy network (RPL). Here, the Objective Function (OF) defines the way the node should select the parent node. The two standard OFs are OF-0, and MRHOF developed in 2010 and 2012. The paper explains these OFs and presents the experimental results of the two OFs in Contiki-3.0. The experiments were carried out by varying the number of nodes and varying data rates. The experimental results show that due to low hop count and fewer nodes getting involved in OF-0, it performs better than MRHOF, as MRHOF requires more stable links to transmit the data. Thus, OF-0 is useful in the scenarios where there are fewer nodes, and the destination is closer. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.