An adaptive routing for ad-hoc network of research
| Autor: | Chich-Fu Yang, 楊智富 |
|---|---|
| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 As is well known, in the world today, science and technology is changing with each passing day. Communication issues become one of the most important issues. It is widely used to IOT and Big data. Depending on the different needs which the required communications architecture was different at terrestrial and underwater. The Open Systems Interconnect (OSI) model has seven layers. At each layer, describes and explains an abstract model of networking, and a set of concrete protocols, beginning with the 'lowest' in the hierarchy (the physical) and proceeding to the 'highest' (the application). The network layer relieves and intermediate switching data. A lot of researches were established, maintained and terminated connections across the intervening communication subnet at different situation. This paper put forward a plan for improving the accuracy of position in terrestrial and underwater. In the VANET employs the Chord protocol of techniques to reduce query messages and efficiently deliver. In the deep ocean Sound Frequency and Ranging channel, acoustic waves carry the information of seismic events for long range propagation over a few thousands kilometers. In this paper, we present a novel approach of sensor devices as well as routing protocol towards Sound Frequency and Ranging channel for Sound Fixing and Ranging channel technologies. The sound speed increases towards sea surface as water temperature increases. Therefore, we use the oceanography to find a more efficient way of utilizing routing protocol to obtain more effective detection and identification capabilities. At the VANET, the proposed scheme can be employed to vehicle file sharing and search applications. In the underwater, our approach gives a straightforward interpretation of an adaptive location-based routing protocol, which can overcome the location-based UWSN without GPS position. It reduced costs of deployment for the case of long range propagation. The performances are measured according to the number of collisions, energy consumption per bit, and average end-to-end packet latency. In future research, we will development applications in IOT, industry 4.0, Big Data integration and applications. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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