Energy-efficient Wireless Analog Sensing for Persistent Underwater Environmental Monitoring
Energy-efficient Wireless Analog Sensing for Persistent Underwater Environmental Monitoring
复制标题
用于持续水下环境监测的节能无线模拟传感
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
D. Pompili
中科院分区：
文献类型：
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作者：
Vidyasagar Sadhu;Sanjana Devaraj;D. Pompili
作为新的水下物联网（IoUT）范例的一部分，传感器或“东西”的设计面临着多重挑战，包括有限的电池容量，不污染水体，以及连续跟踪具有高时空变化性的现象的能力。我们声称，传统的数字传感器无法满足这些需求，因为它们的高功耗，高复杂性（成本），以及使用不可生物降解的材料。为了解决上述挑战，我们提出了一种新的架构组成的密集模拟生物降解传感器的传感基板上的传统的无线传感器网络（WSN）。基质模拟生物可降解传感器仅使用单个场效应晶体管（FET）执行香农映射（数据压缩技术），而不需要功耗高的模数转换器（ADC），从而大大降低了功耗、复杂性以及仅使用可持续能量收集技术供电的能力。提出了一种新颖高效的解码技术。这两种编码/解码技术已通过Spice和MATLAB仿真验证占水声信道的变化。
The design of sensors or “things” as part of the new Internet of Underwater Things (IoUTs) paradigm comes with multiple challenges including limited battery capacity, not polluting the water body, and the ability to track continuously phenomena with high temporal/spatial variability. We claim that traditional digital sensors are incapable to meet these demands because of their high power consumption, high complexity (cost), and the use of non-biodegradable materials. To address the above challenges, we propose a novel architecture consisting of a sensing substrate of dense analog biodegradable sensors over which lies the traditional Wireless Sensor Network (WSN). The substrate analog biodegradable sensors perform Shannon mapping (a data-compression technique) using just a single Field Effect Transistor (FET) without the need for power-hungry Analog to-Digital Converters (ADCs) resulting in much lower power consumption, complexity, and the ability to be powered using only sustainable energy-harvesting techniques. A novel and efficient decoding technique is also presented. Both encoding/decoding techniques have been verified via Spice and MATLAB simulations accounting for underwater acoustic channel variations.