National Institute of Technology, Silchar

About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.

Comprehensive survey of V2V communication for 4G mobile and wireless technology

Abstract: Vehicular Ad Hoc Network (VANet) enables Vehicle to Vehicle (V2V) communication where vehicles exchange data while moving at different speeds. Since Ad Hoc network does not rely on any fixed infrastructure, vehicles are organized in a well-defined dynamic topology. However, the spectrum allocated to V2V suffered from lack of capacity due to increase in number of vehicles. On the other hand, Device to Device (D2D) communication enables direct communication between users in vicinity. The main concept is that devices should be in proximity. D2D is very important in terms of network control over communication sessions and minimum involvement of the network, called offloading Evolved Node B (eNB). Offloading will help to overcome the delay and timing issues which originate problems in V2V. This paper presents a comprehensive survey about the requirements for V2V communication over 4G and beyond (5G) network and focuses on localization for the purpose of device discovery. A detailed survey of D2D communication is also included. Various protocols are studied and a detailed summary is presented for various localization techniques used in VANet. Clustering of vehicles under VANet with distance metric is also discussed. The limitations and challenges of various algorithms are also presented.

N+ Pocket-Doped Vertical TFET for Enhanced Sensitivity in Biosensing Applications: Modeling and Simulation

Abstract: This article examines the performance of N+ pocket-doped vertical tunnel field-effect transistor (VTFET)-based label-free biosensors with the help of an analytical model developed for electrostatic potential, electric field, and drain current along with an extensive verification of the simulated device data. The model incorporates the effects of dielectric constant as well as charge and renders a generalized solution applicable for both neutral and charged biomolecules. Besides, the sensitivity has been analyzed by measuring the shift in drain current due to a change in the dielectric constant. It has been observed that the proposed sensor shows a large deviation in drain current, and hence, ${I}_{ \mathrm{\scriptscriptstyle ON}}$ can be used as an appropriate sensing parameter. The variations in the drain current and threshold voltage ( ${V}_{th}$ ) due to the impact of positive/negative charged biomolecules have also been studied. Extensive TCAD simulations have been performed to investigate the device performance when the nanogaps are fully filled, three-quarterly filled, half-filled, quarterly filled, and unequally filled. Furthermore, a comparison has been made with MOSFET-based biosensors.

Interval-valued intuitionistic fuzzy TODIM method based on Schweizer–Sklar power aggregation operators and their applications to group decision making

Abstract: The present work proposes a novel integrated group decision making framework for decision making in IVIF setting employing Schweizer–Sklar t-conorm and t-norm (SSTT) aggregation operators, power average (PA) operators and TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) methods. The SSTT aggregation operators make the aggregation process more flexible and the PA operators relive the decision making process from unreasonable data arising out due to biased evaluations. The TODIM method, on the other hand, ranks the alternatives by giving due consideration to the psychological behaviour of the expert towards risk. The extension of PA and SSTT operators to IVIF give rise to the weighted averaging and weighted geometric operators and are referred to as IVIFSSPAWA and IVIFSSPAWG operators. These operators, on integration with the TODIM method, give rise to two group decision making frameworks and are referred to as IVIFSSPWA fuzzy TODIM and IVIFSSPWG fuzzy TODIM approaches. The applicability of the proposed methods has been demonstrated through five illustrative examples from different domains: material selection, personnel selection, supplier selection, facility evaluation and technology evaluation. A comprehensive evaluation of the proposed methods with the considered illustrative examples aided to reveal the strength and weaknesses of the proposed approaches. The comprehensive analysis shows that the proposed IVIFSSPWA fuzzy TODIM and IVIFSSPWG fuzzy TODIM methods are superior to the benchmarks considered in the present work and also other MCDM methods without SSTT and PA aggregation operators and those ignoring the criticality of risk attitude of the experts. The proposed methodology, therefore, enhances the way of dealing with fuzzy information and in a way provides an improvisation of current studies.