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Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network
Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network
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Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network

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Document from the year 2014 in the subject Computer Science - Technical Computer Science, , language: English, abstract: A Wireless network is a collection of autonomous mobile nodes that communicate with each other over wireless links without any fixed infrastructure. It is a method by which homes, telecommunications networks and enterprise installations avoid the costly process of introducing cables into a building, or as a connection between various equipment locations. A routing protocol is taking a vital role in the modern Wireless Network. Mobile ad hoc network (MANET) is an autonomous system of mobile nodes connected by wireless links. Each node operates not only as an end system, but also as a router to forward packets .The nodes are free to move about and a network.A routing protocol which is responsible to determine how nodes communicate with each other and forward the packets through the optimal path to travel from a source node to a destination node. The purpose of paper is to contribute the study and comparison of routing protocols performance in MANET
Kirjailija
Jagrut Solanki
ISBN
9783656863267
Kieli
englanti
Julkaisupäivä
17.12.2014
Kustantaja
GRIN Verlag
Formaatti
  • PDF - Adobe DRM
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