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Selecting the optimal buffer management for opportunistic networks both in pedestrian and vehicular contexts

机译:为行人和车辆环境中的机会网络选择最佳的缓冲区管理

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Opportunistic networks are a form of mobile ad hoc networks that exploit users mobility to provide data sharing. Individual nodes store, carry and forward messages using direct communication between devices; no fixed infrastructure of communication is required. The final goal is to reach the totality of the participating users. The efficiency of message diffusion depends on the users' mobility, the transfer time, and the device buffer management. User's mobility determines the number of contacts and their duration while the transfer time depends on the size of the interchanged messages and the channel throughput. The device buffer management is a critical factor since, due to its limited size, the chosen policy for forwarding messages when a connection is available and for message dropping when the buffer is full can impact greatly on the diffusion of the messages. In this paper we focus on this issue, evaluating the impact of different buffer management approaches in two different scenarios: pedestrian and vehicular. The results show that the best buffer management is the combination of smallest message forwarding and largest message dropping. We also show that a TTL (Time to Live) of 24 hours allows the best diffusion because it corresponds to the daily movement pattern of the nodes.
机译:机会网络是移动自组织网络的一种形式,它利用用户的移动性来提供数据共享。各个节点使用设备之间的直接通信来存储,携带和转发消息;不需要固定的通信基础设施。最终目标是达到参与用户的总数。消息传播的效率取决于用户的移动性,传输时间和设备缓冲区管理。用户的移动性决定了联系人的数量及其持续时间,而传输时间则取决于交换消息的大小和通道吞吐量。设备缓冲区管理是一个关键因素,因为由于其有限的大小,选择的策略(当连接可用时转发消息)和缓冲区已满时丢弃消息的策略会极大地影响消息的传播。在本文中,我们将重点放在这个问题上,评估不同缓冲区管理方法在两种不同情况下的影响:行人和车辆。结果表明,最佳的缓冲区管理是最小的消息转发和最大的消息丢弃的组合。我们还表明,24小时的TTL(生存时间)可以实现最佳扩散,因为它对应于节点的日常运动方式。

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