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An Opportunistic Sensor Network Approach to Wide Area Environmental Sensing

机译:广泛环境传感的机会主义传感器网络方法

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As the availability of frequency spectrum is constantly being reduced by the growing diffusion of portable applications, the need for high speed and low power wireless transmissions of large amounts of data has become a challenging topic, especially in scenarios like geographically spread environmental sensor networks. To deal with this, opportunistic transmission approaches, i.e. methods which leverage on spectrum sensing techniques to transfer data without the need for pre-assigned frequency slots, can be exploited; however, these methods often require computationally expensive spectrum estimation techniques, which may be unsuitable for low power devices. In this work, a spectrum sensing method which uses a simple and efficient chirp-based demodulation approach is presented: this technique allows preservation of both time and frequency resolution in spectrum estimation, while reducing computational load on sensor nodes, therefore making the deployment of an opportunistic environmental sensor network feasible.
机译:由于便携式应用的越来越多的扩散不断降低频谱的可用性,因此对大量数据的高速和低功率无线传输的需求已经成为一个具有挑战性的话题,特别是在地理上传播环境传感器网络等场景中。为了处理这一点,机会的传输方法,即可以利用在无需预先分配的频率插槽的情况下传输数据的频谱传感技术的方法;然而,这些方法通常需要计算昂贵的频谱估计技术,这可能不适合低功率设备。在这项工作中,提出了一种使用简单且有效的啁啾的解调方法的频谱感测方法:该技术允许保存在频谱估计中的时间和频率分辨率,同时减少传感器节点上的计算负荷,从而进行部署机会化环境传感器网络可行。

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