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Synopsis
Mobile Ad hoc Networks (MANETs) are dynamic networks populated by mobile stations or mobile nodes (MNs). Specifically, MANETs consist of a collection of nodes randomly placed in a line (not necessarily straight). MANETs do appear in many real-world network applications such as a vehicular MANETs built along a highway in a city environment or people in a particular location. MNs in MANETs are usually laptops, PDAs or mobile phones. These devices may use Bluetooth and/or IEEE 802.11 (Wi-Fi) network interfaces and communicate in a decentralized manner. Mobility is a key feature of MANETs. Each node may work as a router and the network can dynamically change with time; when new nodes can join, and other nodes can leave the network. In this thesis, comparative results of the Queueing Mobility Model and mobility models such as random walk/Brownian model have been carried out via Matlab software simulation. The study investigates the impact of mobility prediction models on mobile nodes’ parameters such as the speed, the arrival rate and the size of mobile nodes in a given area. The results have indicated that mobile nodes’ arrival rates may have influence on MNs population.
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About the Author
He is a holder of a BSc. Computer Science from Kwame Nkrumah University of Science and Technology (KNUST) in 2001 and currently completed his MSc. Telecommunication Engineering course from College of Engineering at the same university and awaiting graduation. He is a senior instructor with the Department of Computer Science at Sunyani Polytechnic.
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Mobility Models For Mobile AD HOC Network By Simulation
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mobile Ad hoc Networks (MANETs) are dynamic networks populated by mobile stations or mobile nodes (MNs). Specifically, MANETs consist of a collection of nodes randomly placed in a line (not necessarily straight). MANETs do appear in many real-world network applications such as a vehicular MANETs built along a highway in a city environment or people in a particular location. MNs in MANETs are usually laptops, PDAs or mobile phones. These devices may use Bluetooth and/or IEEE 802.11 (Wi-Fi) network interfaces and communicate in a decentralized manner. Mobility is a key feature of MANETs. Each node may work as a router and the network can dynamically change with time; when new nodes can join, and other nodes can leave the network. In this thesis, comparative results of the Queueing Mobility Model and mobility models such as random walk/Brownian model have been carried out via Matlab software simulation. The study investigates the impact of mobility prediction models on mobile nodes' parameters such as the speed, the arrival rate and the size of mobile nodes in a given area. The results have indicated that mobile nodes' arrival rates may have influence on MNs population. 72 pp. Englisch. Seller Inventory # 9783659321733
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tengviel JohnHe is a holder of a BSc. Computer Science from Kwame Nkrumah University of Science and Technology (KNUST) in 2001 and currently completed his MSc. Telecommunication Engineering course from College of Engineering at the . Seller Inventory # 5148411
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mobile Ad hoc Networks (MANETs) are dynamic networks populated by mobile stations or mobile nodes (MNs). Specifically, MANETs consist of a collection of nodes randomly placed in a line (not necessarily straight). MANETs do appear in many real-world network applications such as a vehicular MANETs built along a highway in a city environment or people in a particular location. MNs in MANETs are usually laptops, PDAs or mobile phones. These devices may use Bluetooth and/or IEEE 802.11 (Wi-Fi) network interfaces and communicate in a decentralized manner. Mobility is a key feature of MANETs. Each node may work as a router and the network can dynamically change with time; when new nodes can join, and other nodes can leave the network. In this thesis, comparative results of the Queueing Mobility Model and mobility models such as random walk/Brownian model have been carried out via Matlab software simulation. The study investigates the impact of mobility prediction models on mobile nodes' parameters such as the speed, the arrival rate and the size of mobile nodes in a given area. The results have indicated that mobile nodes' arrival rates may have influence on MNs population. Seller Inventory # 9783659321733
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Mobile Ad hoc Networks (MANETs) are dynamic networks populated by mobile stations or mobile nodes (MNs). Specifically, MANETs consist of a collection of nodes randomly placed in a line (not necessarily straight). MANETs do appear in many real-world network applications such as a vehicular MANETs built along a highway in a city environment or people in a particular location. MNs in MANETs are usually laptops, PDAs or mobile phones. These devices may use Bluetooth and/or IEEE 802.11 (Wi-Fi) network interfaces and communicate in a decentralized manner. Mobility is a key feature of MANETs. Each node may work as a router and the network can dynamically change with time; when new nodes can join, and other nodes can leave the network. In this thesis, comparative results of the Queueing Mobility Model and mobility models such as random walk/Brownian model have been carried out via Matlab software simulation. The study investigates the impact of mobility prediction models on mobile nodes' parameters such as the speed, the arrival rate and the size of mobile nodes in a given area. The results have indicated that mobile nodes' arrival rates may have influence on MNs population.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 72 pp. Englisch. Seller Inventory # 9783659321733
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Taschenbuch. Condition: Neu. Mobility Models For Mobile AD HOC Network By Simulation | John Tengviel (u. a.) | Taschenbuch | 72 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659321733 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106102390