STTR Phase I: Feasibility of Mobile Peer-to-Peer Search on Hand-held Devices

这个小企业技术转移（STTR）第一阶段的研究项目将设计MOBI-DIK，一个系统的本地搜索在移动的对等网络。移动的对等网络是一组便携式设备，例如膝上型计算机、PDA和蜂窝电话，它们通过短距离、不受管制的无线技术进行通信，IEEE 802.11（即Wi-Fi）或蓝牙。利用这样的通信机制，由行人携带或安装在车辆中的移动终端通过由中间便携式设备和固定热点中继的多跳传输从其邻居或从远程移动的设备接收信息。MOBI-DIK是一组软件服务、应用程序和用户界面（即软件平台），其促进在移动的对等网络中的配对和资源发现应用的开发。该组服务包括用于描述资源和请求、功率、带宽和存储器管理参数的数据模型，以及用于在移动的对等环境中进行信息发现的分布式算法。MOBI-DIK基于机会资源传播（移动终端将资源信息传播到遇到的设备，并在交换中获得新的信息）、利用数据库管理系统技术的应用开发、信息优先级和过滤以及发布/订阅技术的思想。 该项目将评估MOBI-DIK在蓝牙网络中的可行性。为了优化吞吐量，它将评估使用机器学习技术对信息进行优先排序。该项目将建立一个模拟试验台，用于研究系统在各种内存/带宽/功率分配、移动性和环境参数下的情况。MOBI-DIK将使在许多应用领域中快速建立匹配或资源发现服务成为可能，这些应用领域包括社交网络、交通、移动的电子商务、紧急响应、资产跟踪和管理以及移动的协同工作。例如，在大型专业、政治或社交聚会中，该技术可用于基于匹配的配置文件自动促进面对面会议;或用于发送免费SMS消息。在交通运输方面，导航设备中的MOBI-DIK可用于向其他类似装备的车辆传播有关相关资源的信息，如免费停车位、交通堵塞和减速、可用的出租车和拼车机会。在移动的电子商务中，MOBI-DIK可用于在购物中心匹配买家和卖家，或交易数据（例如音乐文件）和知识。在应急反应中，MOBI-DIK有助于第一反应者支持救援工作，即使在固定基础设施被破坏的情况下;它将用专业知识满足具体需求，并帮助找到受害者。在资产管理中，安装在相邻智能工件（例如容器）上的传感器可以向远程检查点传递和传递警报。

This Small Business Technology Transfer (STTR) Phase I research project will design MOBI-DIK, a system for local search in mobile peer-to-peer networks. A mobile peer-to-peer network is a set of portable devices such as laptops, PDA's and cellular phones, that communicate via short-range, unregulated wireless technologies, e.g., IEEE 802.11 (namely, Wi-fi) or Bluetooth. With such communication mechanisms, a mobile device carried by a pedestrian or mounted in a vehicle receives information from its neighbors, or from remote mobile devices by multi-hop transmission relayed by intermediate portable devices and stationary hotspots. MOBI-DIK is a set of software services, application program and user interfaces (i.e. a software platform)that facilitates the development of matchmaking and resource-discovery applications in mobile peer-to-peer networks. The set of services includes a data model to describe resources and requests, power, bandwidth, and memory management parameters, and a distributed algorithm for information discovery in mobile peer-to-peer environments. MOBI-DIK is based on the ideas of opportunistic resource dissemination (a mobile device propagates the resource-information to encountered devices, and obtains new information in exchange), application development utilizing Database Management System technology, information prioritization and filtering, and publish/subscribe technology. This project will evaluate the feasibility of MOBI-DIK in Bluetooth networks. In order to optimize the throughput it will evaluate the use of machine learning techniques for prioritizing information. The project will build a simulation test-bed for studying the system under various memory/bandwidth/power allocations, mobility and environmental parameters.MOBI-DIK will enable quick building of matchmaking or resource discovery services in many application domains, including social networks, transportation, mobile electronic commerce, emergency response, asset tracking and management, and mobile collaborative work. For example, in a large professional, political, or social gathering, the technology is useful to automatically facilitate face-to-face meetings based on matching profiles; or for sending free SMS messages. In transportation, the MOBI-DIK incorporated in navigational devices can be used to disseminate to other similarly equipped vehicles information about relevant resources such as free parking slots, traffic jams and slowdowns, available taxicabs, and ride sharing opportunities. In mobile electronic commerce, MOBI-DIK is useful to match buyers and sellers in a mall, or to trade data (e.g. music files) and knowledge. In emergency response, MOBI-DIK is useful for first responders to support rescue efforts even when the fixed infrastructure is inoperative; it will match specific needs with expertise, and help locate victims. In asset management, sensors mounted on neighboring smart artifacts (e.g. containers) can communicate and transitively relay alerts to remote check-points.