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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wireless personal area networks (LoWPAN) are made up of sensing nodes compliant with standard IEEE 802.15.4 [1] for wireless communications support. The LoWPAN nodes are characterized by small size‚ constrained power‚ limited computing and storage resources. Wireless sensor network (WSN) is a subtype of LoWPAN‚ and sensor nodes can interact with their environment by sensing or controlling some physical parameters. In general‚ sensor nodes cooperate to perform a common task [2]. Some new paradigms are
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circuit can run a commercial Mica2 sensor mote‚ with accompanying simulations on both ideal and non-ideal conditions for identifying the upper bound on achievable efficiency. With a simple yet optimal dual-stage design‚ experiments and characterization plots reveal approximately 100% improvement over other existing designs in the power range of 20 to 7 dBm. Index Terms—Optimization‚ power efficiency‚ radio-frequency (RF) energy harvesting circuit‚ Schottky diode‚ sensor‚ voltage multiplier‚ 915 MHz. I
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International Conference on Information Processing in Sensor Networks A Practical Multi-Channel Media Access Control Protocol for Wireless Sensor Networks ∗ Hieu Khac Le‚ Dan Henriksson‚ and Tarek Abdelzaher Department of Computer Science‚ University of Illinois at Urbana-Champaign 201 N Goodwin Ave.‚ Urbana‚ IL 61801 {hieule2‚ danhenr‚ zaher}@cs.uiuc.edu Abstract Despite availability of multiple orthogonal communication channels on common sensor network platforms‚ such as MicaZ motes‚ and despite
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Nodes In the context of the plan‚ the nodes are planned areas of high-density multifunctional developments featuring a pedestrian friendly environment and good public-transit accessibility. Meaning that there is a concentration of activity centred around easy access to the transit network. The strategy of the multiple centres concentrates growth where it is most easily accessible in terms of both transit and infrastructure‚ the strategy forms a hierarchy of nodes from the major centres‚ connections
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is a hypothetical system of many tiny microelectromechanical systems (MEMS) such as sensors‚ robots‚ or other devices‚ that can detect light‚ temperature‚ vibration‚ magnetism or chemicals. These are usually networked wirelessly and are distributed over some area to perform tasks like sensing. Advances in hardware technology has enabled very compact‚ autonomous and mobile nodes each having one or more sensors‚ computation and communication capabilities ‚and a power supply. The Smart Dust project
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Wireless Sensor Networks Muneeb Ali‚ Tashfeen Suleman‚ and Zartash Afzal Uzmi Computer Science Department‚ LUMS {muneeb‚tashfeens‚zartash}@lums.edu.pk Abstract Mobility in wireless sensor networks poses unique challenges to the medium access control (MAC) protocol design. Previous MAC protocols for sensor networks assume static sensor nodes and focus on energyefficiency. In this paper‚ we present a mobilityadaptive‚ collision-free medium access control protocol (MMAC) for mobile sensor networks
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malavolta‚henry.muccini}@univaq.it ∗ Computer Abstract—Energy consumption of nodes is a crucial factor that constrains the networks life time for Wireless Sensor Networks (WSNs). WSNs are composed of small sensors equipped with lowpower devices‚ and have limited battery power supply. The main concern in existing architectural and optimisation studies is to prolong the network lifetime. The lifetime of the sensor nodes is affected by different components such as the microprocessor‚ the sensing module
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health-related monitoring applications. Selected vital signs of patients are acquired using sensor nodes and readings are transmitted wirelessly using devices that utilize the ZigBee communications protocols. A prototype system has been developed and tested with encouraging results. Keywords: Zigbee‚ wireless health monitoring. I. Compared to Bluetooth‚ ZigBee provides higher network flexibility and a larger number of nodes‚ and a better transmission range with low power consumption. Recently‚ ZigBee-based
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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 2-covered. Sinks are placed deterministically on grid cross points. But the sensor node
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