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首页> 外文期刊>Mobile Computing, IEEE Transactions on >Discovering Mobile Applications in Cellular Device-to-Device Communications: Hash Function and Bloom Filter-Based Approach
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Discovering Mobile Applications in Cellular Device-to-Device Communications: Hash Function and Bloom Filter-Based Approach

机译：在蜂窝设备到设备通信中发现移动应用程序：哈希函数和基于Bloom Filter的方法

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摘要

We propose a code-based discovery protocol for cellular device-to-device (D2D) communications. To realize proximity-based services such as mobile social networks and mobile marketing using D2D communications, each device should first discover nearby devices, which have mobile applications of interest, by using a discovery protocol. The proposed discovery protocol makes use of a short discovery code that contains compressed information of mobile applications in a device. A discovery code is generated by using either a hash function or a Bloom filter. When a device receives a discovery code broadcast by another device, the device can approximately find out the mobile applications in the other device. The proposed protocol is capable of quickly discovering massive number of devices while consuming a relatively small amount of radio resources. We analyze the performance of the proposed protocol under the random direction mobility model and a real mobility trace. By simulations, we show that the analytical results well match the simulation results and that the proposed protocol greatly outperforms a simple non-filtering protocol.
机译：我们提出了一种用于蜂窝设备到设备（D2D）通信的基于代码的发现协议。为了使用D2D通信实现诸如移动社交网络和移动营销之类的基于邻近性的服务，每个设备应首先通过使用发现协议来发现具有感兴趣的移动应用程序的附近设备。所提出的发现协议利用了短发现代码，该代码包含设备中移动应用程序的压缩信息。通过使用哈希函数或布隆过滤器生成发现代码。当一台设备接收到另一台设备广播的发现代码时，该设备可以大致找到另一台设备中的移动应用程序。所提出的协议能够在消耗相对少量的无线电资源的同时快速发现大量设备。我们分析了在随机方向移动性模型和真实移动性跟踪下所提出协议的性能。通过仿真，我们表明分析结果与仿真结果非常吻合，并且所提出的协议大大优于简单的非过滤协议。

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