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      • Cluster Head Election with Hexagonal Node Deployment Technique in Wireless Sensor Networks

        Tripti Sharma,G.S.Tomar,Ishaan Berry,Aarti Kapoor,Suhani Jasuja 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.1

        Wireless Sensor Networks (WSNs) are a network of large number of wireless sensor nodes deployed over a wide geographical area. The sensor nodes have a limited amount of memory as well as power. Excess extent of energy is dissipated during data transmission to the base station (sink) from normal sensor nodes. The efficient way of prolonging the lifetime of sensor nodes is clustering which optimizes the energy dissipation of WSNs. In this paper, a homogenous clustering algorithm based on fuzzy logic has been proposed in which cluster head election is done with the help of two fuzzy descriptors namely residual energy and proximity distance. The sensor nodes have been hexagonally deployed in the homogenous environment. This covers the sensing area efficiently along with reducing the redundancy in data being transmitted by the sensor nodes. This algorithm has been compared with the low energy adaptive clustering hierarchy (LEACH) protocol. The simulation results show that the proposed approach outperforms the LEACH protocol in terms of number of data packets transmitted to base station, energy consumption and prolonged network lifetime.

      • Optimized Genetic Algorithm (OGA) for Homogeneous WSNs

        Tripti Sharma,G. S Tomar,Radhika Gandhi,Srishti Taneja,Kiran Agrawal 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.4

        A wireless sensor network (WSN) is a network consisting of wireless computing devices called sensors that sense environmental conditions like motion, sound, etc in an area. These networks collect the information from the environment and send it to the sink node. The main constraint in these networks is the energy of the nodes. As these sensors have limited battery life, routing protocol should be designed appropriately so that minimal energy is used. Long communication distances between the sensors and the sink in the WSN drain the energy of the sensors and reduce the lifetime of the network. Clustering reduces energy consumption. By clustering a sensor network we can help minimize the total communication distance, thus increasing the network lifetime. In this paper, we an algorithm based on LEACH (Low Energy Adaptive Clustering Hierarchy protocol) using genetic algorithm has been proposed in order to achieve increased lifetime of the network and energy efficiency in WSN. The genetic algorithm is used to select the cluster heads for the WSN and hence create the energy efficient clusters for transmission of data in the wireless sensor network. The fitness function proposed in this algorithm considers both the distance of the nodes from the sink and their energies. The simulation results show that the proposed protocol results in prolonged network lifetime and optimal energy consumption of the wireless sensor network.

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        Synthesis and Characterization of Carbon Micro Tubes Based Unsaturated Polyester Resin Composites

        Ram Avatar Sharma,Sarojini Swain,Tripti Sharma 한국전기전자재료학회 2013 Transactions on Electrical and Electronic Material Vol.14 No.5

        In this paper, the thermal diffusivity of composites comprising hollow carbon microtube (CMT) filler and unsaturated polyester resin (UPR) have been investigated. The thermal diffusivity of the CMT-UPR composites was increased to 4.056 W/m K at 50 wt% filler loading after reaching a minimum value of about 0.210 W/m K at 1 wt%. At higher filler loading, the mechanical and electrical properties of composites are typically changed. Therefore, the properties of CMT-UPR composites were determined using ASTM methods. The surface and volume-resistivity reach minimum values of 107 Ohm/sq and 108 Ohm-cm at 50 wt%, and maximum values of 1017 Ohm/sq and 1015 Ohm-cm for neat UPR. The distribution of CMTs in the UPR matrix was analyzed by scanning electron microscope (SEM). The thermal behavior of the CMT-UPR composites was determined by differential scanning calorimeter (DSC) and thermal gravimetric analysis (TGA).

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        Endobronchial Smooth Muscle Tumors: A Series of Five Cases Highlighting Pitfalls in Diagnosis

        Tripti Nakra,Aanchal Kakkar,Shipra Agarwal,Karan Madan,Suresh C Sharma,Deepali Jain 대한병리학회 2018 Journal of Pathology and Translational Medicine Vol.52 No.4

        Background: Primary endobronchial smooth muscle tumors (SMTs), which are extremely rare, include endobronchial leiomyomas and leiomyosarcomas. Clinically, SMTs present with signs and symptoms of bronchial obstruction, and lack specific radiological findings. Thus, histopathological examination is required for accurate diagnosis as well as for tumor grading. We examined the histomorphological and immunohistochemical features of endobronchial SMTs and highlighted pitfalls in diagnosis, particularly when using small biopsies. Methods: Cases of primary endobronchial SMTs diagnosed at our Institute over the last 6 years (2012–2017) were retrieved from the departmental archives. Histopathological features and immunohistochemistry performed for establishing the diagnosis were reviewed. Results: Five cases of SMTs occurring in endobronchial locations were identified. These included three cases of leiomyoma, and two cases of leiomyosarcoma. The age distribution of patients ranged from 13 to 65 years. Leiomyomas showed more consistent staining with smooth muscle markers (smooth muscle actin, desmin, and smooth muscle myosin heavy chain), while tumors of higher grade showed variable, focal staining, leading to erroneous diagnosis, especially on small biopsies. Conclusions: The diagnosis of endobronchial SMTs relies on histopathological examination, for both confirmation of smooth muscle lineage and determination of the malignant potential of the lesion. Appropriate immunohistochemical panels including more than one marker of smooth muscle differentiation are extremely valuable for differential diagnosis from morphological mimics, which is necessary for instituting appropriate management.

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