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移动模型的基准无线算法

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  • 上传时间:2021-06-30
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  • 标      签: 算法 模型 无线 移动 基准

资 源 简 介

In this project we benchmark wireless algorithms for 2 mobility models. The algorithms to be benchmarked are: 1. 2. Each scenario is composed of the chosen algorithm, a mobility model file and a traffic file. The files are the output of the Benchmark project (see downloads section) The mobility models are: Random Walk - A simple mobility model based on random directions and speeds. In this mobility model, an MN moves from its current location to a new location by randomly choosing a direction and speed in which to travel. Nomadic - A group mobility model where a set of MNs move together from one location to another. An example scenario this model simulates would be a guided tour of a city or museum. The tour guide and tourists move from spot to spot and they would all roam around each particular location individually. See - http://www.cise.ufl.edu/~helmy/papers/Survey-Mobility-Chapt

文 件 列 表

FSR.doc
Presentation.pdf
fsr
__init__.py
battery_manager.py
data_packet.py
fisheye_consts.py
fisheye_manager.py
link_manager.py
location_manager.py
main.py
message_queue.py
node.py
packet.py
packet_manager.py
route_update_packet.py
topology_map_entry.py
traffic_manager.py
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