MobEyes: Smart mobs for urban monitoring with a vehicular sensor network
MobEyes: Smart mobs for urban monitoring with a vehicular sensor network
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DOI：
10.1109/wc-m.2006.250358
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发表时间：
2006-10-01
影响因子：
12.9
通讯作者：
Corradi, Antonio
中科院分区：
文献类型：
--
作者：
Lee, Uichin;Zhou, Biao;Corradi, Antonio
车载传感器网络正在成为一种新的网络模式的主要相关性，特别是在城市环境中主动收集监测信息。车辆通常对处理能力和存储能力没有严格的限制。它们可以感知事件（例如，从街道成像），处理感测数据（例如，识别牌照），并将消息路由到其它车辆（例如，向驾驶员或警察传播相关通知）。在这种新颖且具有挑战性的移动的环境中，传感器可以产生大量的数据，传统的传感器网络数据报告方法变得不可行。本文提出了MobEyes，一个有效的轻量级支持主动城市监测的基础上，利用车辆的流动性，机会主义地扩散有关传感数据的摘要的主要想法。报告的实验/分析结果表明，MobEyes可以收获摘要并构建一个低成本的分布式索引，具有合理的完整性，良好的可扩展性和有限的开销。
Vehicular sensor networks are emerging as a new network paradigm of primary relevance, especially for proactively gathering monitoring information in urban environments. Vehicles typically have no strict constraints on processing power and storage capabilities. They can sense events (e.g., imaging from streets), process sensed data (e.g., recognizing license plates), and route messages to other vehicles (e.g., diffusing relevant notification to drivers or police agents). In this novel and challenging mobile environment, sensors can generate a sheer amount of data, and traditional sensor network approaches for data reporting become unfeasible. This article proposes MobEyes, an efficient lightweight support for proactive urban monitoring based on the primary idea of exploiting vehicle mobility to opportunistically diffuse summaries about sensed data. The reported experimental/analytic results show that MobEyes can harvest summaries and build a low-cost distributed index with reasonable completeness, good scalability, and limited overhead.