Adaption of wireless sensor network for farming industries This article is present the solution that implements real-time health monitoring using alternative low-cost ‚ low power consumption wireless sensor nodes. To achieve this goal‚ a variety of factors that associated with cheap ‚ lower power consumption sensor nodes on the radio connectivity is presented. ( MICHAEL GILROY ‚ 2009) Various researchers have been using wireless network in a form as neck mounted sensory collar to track animals’
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Monitoring Patients’ Signs Wirelessly A. Sagahyroon‚ F. Aloul‚ A.R. Al-Ali‚ M. S. Bahrololoum‚ F. Makhsoos‚ N. Hussein Department of Computer Science & Engineering American University of Sharjah‚ UAE Abstract—Recent developments in off-the-shelf wireless embedded computing boards and the increasing need for efficient health monitoring systems‚ fueled by the increasing number of patients‚ has prompted R&D professionals to explore better health monitoring systems that are both mobile and cheap. This
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point-to-multi-point voice and data transfer. Bluetooth will enable users to connect to a wide range of computing and telecommunications devices without the need for proprietary cables that often fall short in terms of ease-of-use. A global specification for wireless connectivity: Bluetooth‚ named for Denmark’s first Christian king and not a dire dental condition‚ is the name of a technology specification for small form factor‚ low-cost‚ short-range radio links between PCs‚handhelds‚ mobile phones‚ and other
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guideline to the driver as a result it is time consuming to find vacant parking lot in an unautomated car parking system They are generally considered as unsafe as car safety is at risk. OBJECTIVE In the past few years research is going on wireless sensor network. Due to their vast application potential in diverse field they are attracting attention .It can be used in almost every environment to collect information. It provides guidelines to help driver to locate parking lot easily. It ensures safety
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Volcanic Eruptions with a Wireless Sensor Network Geoffrey Werner-Allen∗ ‚ Jeff Johnson† ‚ Mario Ruiz‡ ‚ Jonathan Lees‡ ‚ and Matt Welsh∗ University {werner‚ mdw}@eecs.harvard.edu † University of New Hampshire jeff.johnson@unh.edu ‡ University of North Carolina {mruiz‚ leesj}@email.unc.edu ∗ Harvard Abstract— This paper describes our experiences using a wireless sensor network to monitor volcanic eruptions with low-frequency acoustic sensors. We developed a wireless sensor array and deployed
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that concepts of smart sensors and information technology can be transferred and applied to numerous system. The implementation of large networks of interconnected smart sensors can monitor and control our world. Better understanding of smart sensors perform satisfactorily in real-world conditions and can help improve efficiency and reliability.A sensor network consisting of a large number of smart sensors‚ enabling the collection‚ processing analysis and dissemination of valuable information gathered
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discrete event network simulator. We have used ns-3 for evaluation of our algorithm for random sensor node deployment scenarios to find the sinks locations for a particular sensor nodes deployment. We have considered a 4x4 square grid wireless sensor network‚ where sinks and sensor nodes both are static. Locations of the sinks are deterministically placed. Locations of our sinks are taken from our deterministic sensor node deployment approach for 4x4 square grid region‚ where the network is 1-hop and
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provides enriched opportunities to reshape interactions between people and computers and spur ubiquitous computing researches. Smart dust is a tiny dust size device with extra-ordinary capabilities. Smart dust combines sensing‚ computing‚ wireless communication capabilities and autonomous power supply within volume of only few millimeters and that too at low cost. These devices are proposed to be so small and light in weight that they can remain suspended in the environment like an ordinary
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Engineering and Computer Sciences‚ University of California‚ Berkeley (jmk‚ randy‚ pister} @Ieecs. berkeley.edu Abstract Large-scale networks of wireless sensors are becoming an active topic of research. Advances in hardware technology and engineering design have led to dramatic reductions in size‚ power consumption and cost for digital circuitry‚ wireless communications and Micro ElectroMechanical Systems (MEMS). This has enabled very compact‚ autonomous and mobile nodes‚ each containing
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ANALYSIS FOR QOS IN WIRELESS SENSOR NETWORKS Ziyati Elhoussaine1‚ Rachid Haboub1‚ Mohammed Ouzzif1 and Khadija Bami1 1 RITM laboratory‚ Computer science and Networks team. ENSEM - ESTC - UH2C‚ Casablanca‚ Morocco ziyati@gmail.com ABSTRACT Nodes in Mobile Ad-hoc network are connected wirelessly and the network is auto configuring [1]. This paper introduces the usefulness of data warehouse as an alternative to manage data collected by WSN. Wireless Sensor Network produces huge quantity
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