79 research outputs found

    An Efficient Data Aggregation Algorithm for Cluster-based Sensor Network

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    Data aggregation in wireless sensor networks eliminates redundancy to improve bandwidth utilization and energy-efficiency of sensor nodes. One node, called the cluster leader, collects data from surrounding nodes and then sends the summarized information to upstream nodes. In this paper, we propose an algorithm to select a cluster leader that will perform data aggregation in a partially connected sensor network. The algorithm reduces the traffic flow inside the network by adaptively selecting the shortest route for packet routing to the cluster leader. We also describe a simulation framework for functional analysis of WSN applications taking our proposed algorithm as an exampl

    Multi-Operator Cell Tower Locations Prediction from Crowdsourced Data

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    Cell tower locations are not publicly available due to business interests of wireless providers. Very often wireless providers provide exaggerated coverage maps that may mislead the public. In addition to providing a neutral check on the coverage maps, prediction of cell tower locations hosting multiple operators’ access nodes could also be helpful in disaster communications and public safety in general. The localization of the disaster-affected towers can be very conducive to respond and reach to the victims. Further, victims’ devices could utilize this knowledge to initiate device-to-device (D2D) or unmanned aerial vehicular (UAV) communications as alternatives to the damaged cellular infrastructure. Publicly available crowdsourced cell (base station) locations and FCC’s sites can be used to predict the cell tower/site locations in the United States. In this work, we utilized a weighted k-means algorithm to predict cell tower locations from OpenCellid crowdsourced dataset and implemented a mapping algorithm to locate nearest physical towers. We map the predicted towers to two different sources of physical towers. Our comparison shows a significant accuracy in predicting tower locations regardless of sources of physical towers. The technique can be used to predict the tower locations in other countries as well

    A comparison of software platforms for Wireless Sensor Networks: MANTIS, TinyOS and ZigBee

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    Wireless sensor networks are characterized by very tight code size and power constraints, and by a lack of well-established standard software development platforms such as Posix. In this paper, we present a comparative study between a few fairly different such platforms, namely MANTIS, TinyOS and ZigBee, when considering them from the application developer's perspective, i.e. by focusing mostly on functional aspects, rather than on performance or code size. In other words, we compare both the tasking model used by these platforms and the API libraries they offer. Sensor network applications are basically event based, so most of the software platforms are also built on considering event handling mechanism, however some use a more traditional thread based model. In this paper, we consider implementations of a simple generic application in MAN- TIS, TinyOS and the Ember ZigBee development framework, with the goal of depicting major differences between these platforms, and suggesting a programming style aimed at maximizing portability between them

    The Impact Of Health Card On Citizens’ Quality Of Life: Evidence In Bangladesh

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    People living in the rural areas in developing countries are deprived of the basic needs including health. In Bangladesh, the rural poor people are facing difficulties to be facilitated from the enhanced medical services, mostly because of the increased medical expenses, and the time required to complete the whole process. Henceforth, it is necessary for the government to enhance the medical facilities to its rural citizens for proper development. It has been argued that the health card service system in Bangladesh can enhance the medical services. However, no studies have been conducted to investigate the impact of health card on the quality of life of rural people in Bangladesh. This study attempts to investigate this issue from actual beneficiary perspective. The main objective of this study is to provide a synopsis of the roles of health card on rural citizen of Bangladesh. The data were collected through telephone and face to face interview from a purposive sample in rural community, Bangladesh. The findings show that by using health card service system, rural poor people can get the facilities to visit the doctor directly whereas previously they had to buy ticket and wait for a long time in front of the doctors’ room. The result of this study suggests that, by using health card the quality of medical service can be enhanced as well as the time, cost and number of visit can be minimized. The findings of this research will be very useful for policy maker in Bangladesh

    Biological and quantitative-SAR evaluations, and docking studies of (E)-N'-benzylidenebenzohydrazide analogues as potential antibacterial agents

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    A series of 15 (E)-N'-benzylidenebenzohydrazide analogues were evaluated for their antimicrobial activities against eleven pathogenic and food-borne microbes, namely, S. aureus (G+), L. monocytogenes (G+), B. subtilis (G+), K. pneumonia (G-), C. sakazakii (G-), C. freundii (G-), S. enterica (G-), S. enteritidis (G-), E. coli (G-), Y. pestis (G-), and P. aeruginosa (G-). Most of the compounds exhibited selective activity against some Gram-negative bacterial strains. Of the compounds tested (3a-o), 3b and 3g were most active against C. freundii (MIC = ~19 µg mL-1). Whereas, compounds 3d, 3i, 3k and 3n exhibited MIC values ranging from 37.5 to 75 µg mL-1 against C. freundii, and compounds 3e, 3l and 3n had MIC values of ~75 µg mL-1 against K. pneumonia. Quantitative structure-antibacterial activity relationships were studied using physicochemical parameters and a good correlation was found between calculated octanol-water partition coefficients (clogP; a lipophilic parameter) and antibacterial activities. In silico screening was also performed by docking high (3b and 3g) and low (3n) activity compounds on the active site of E. coli FabH receptor, which is an important therapeutic target. The findings of these in silico screening studies provide a theoretical basis for the design and synthesis of novel benzylidenebenzohydrazide analogues that inhibit bacterial FabH
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