gosavi amit (9 resultados)

Condición: New. pp. 56.

Taschenbuch. Condición: Neu. An Energy Harvesting Aware Data Dissemination Strategy | An Energy Harvesting Aware Data Dissemination Strategy for Energy Rechargeable Wireless Sensor Networks | Amit Gosavi | Taschenbuch | 56 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659318252 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A wireless sensor network (WSN) is often deployed in a harsh or hard-reach area and is required to operate for a long period time to collect and route sensed information. Since each sensor node is battery-powered, prudent energy-efficient mechanisms have been proposed to extend the network life-time. However, recharging (or replacing) the battery is ultimately unavoidable. In this data dissemination strategy, we consider energy harvesting (or scavenging) with environmental energy sources, such as solar, wind, or vibration. We extend the original sensor protocols for information via negotiation (SPIN) and propose an energy harvesting aware data dissemination strategy for energy rechargeable wireless sensor networks, called Green-SPIN. In Green-SPIN, each node intermittently harvests energy and judiciously changes its communication range. We compare the performance of three data dissemination schemes as a function of number of nodes and the communication range through extensive simulation: Flooding, SPIN with broadcast (SPIN-BC), SPIN with reliability (SPIN-RL), and Green-SPIN. 56 pp. Englisch.

Condición: New. Print on Demand pp. 56 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 56.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gosavi AmitMr. Amit Gosavi has obtained his Graduate degree in Computer Science from Texas Tech University, USA in 2012 by completing thesis in Wireless Sensor Networks. He is currently working with one of the leader software compa.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A wireless sensor network (WSN) is often deployed in a harsh or hard-reach area and is required to operate for a long period time to collect and route sensed information. Since each sensor node is battery-powered, prudent energy-efficient mechanisms have been proposed to extend the network life-time. However, recharging (or replacing) the battery is ultimately unavoidable. In this data dissemination strategy, we consider energy harvesting (or scavenging) with environmental energy sources, such as solar, wind, or vibration. We extend the original sensor protocols for information via negotiation (SPIN) and propose an energy harvesting aware data dissemination strategy for energy rechargeable wireless sensor networks, called Green-SPIN. In Green-SPIN, each node intermittently harvests energy and judiciously changes its communication range. We compare the performance of three data dissemination schemes as a function of number of nodes and the communication range through extensive simulation: Flooding, SPIN with broadcast (SPIN-BC), SPIN with reliability (SPIN-RL), and Green-SPIN.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A wireless sensor network (WSN) is often deployed in a harsh or hard-reach area and is required to operate for a long period time to collect and route sensed information. Since each sensor node is battery-powered, prudent energy-efficient mechanisms have been proposed to extend the network life-time. However, recharging (or replacing) the battery is ultimately unavoidable. In this data dissemination strategy, we consider energy harvesting (or scavenging) with environmental energy sources, such as solar, wind, or vibration. We extend the original sensor protocols for information via negotiation (SPIN) and propose an energy harvesting aware data dissemination strategy for energy rechargeable wireless sensor networks, called Green-SPIN. In Green-SPIN, each node intermittently harvests energy and judiciously changes its communication range. We compare the performance of three data dissemination schemes as a function of number of nodes and the communication range through extensive simulation: Flooding, SPIN with broadcast (SPIN-BC), SPIN with reliability (SPIN-RL), and Green-SPIN.