Tile Resource Selection Algorithm for Remote Sensing Image Based on Peer-to-Peer Network

doi:10.13474/j.cnki.11-2246.2017.0285

Abstract

Abstract: The rapid development of peer-to-peer network technology opens up a new way for the efficient sharing of remote sensing image data. The way of data transmission between peer nodes can effectively reduce the dependence of data sharing on the server, and greatly improve the efficiency of data distribution and transmission. As each terminal in the peer-to-peer network may store image data in different areas, therefore, when you need to share a certain image data, how to choose from which terminals to transmit which tiles to improve the transmission efficiency, is an important problem needed to be solved. This paper studies the efficient way to share the tile data sets between peer-to-peer terminals, and proposes a tile resource selection method based on genetic algorithm, which can effectively solve the problem of tile resource selection in the peer-to-peer network.

Key words: remote sensing image, tiles, P2P, data transmission, combinatorial optimization, genetic algorithm

CLC Number:

P237

FAN Zhaowei, LI Ziyang, ZHOU Zengguang, LI Chuanrong. Tile Resource Selection Algorithm for Remote Sensing Image Based on Peer-to-Peer Network[J]. 测绘通报, 2017, 0(9): 46-50.

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