Towards Low-Cost Yet High-Performance Sensor Networks by Deploying a Few Ultra-fast Charging Battery Powered Sensors
| Autor: | Zheng Li, Qing Guo, Jian Peng, Tang Liu, Wenzheng Xu, Li Hongyou |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Battery (electricity)
Computer science Energy transfer 02 engineering and technology heterogeneous sensor network routing allocation algorithm lcsh:Chemical technology Biochemistry joint charging scheduling Article Analytical Chemistry law.invention Scheduling (computing) 0203 mechanical engineering Relay law Hardware_GENERAL off-the-shelf sensors 0202 electrical engineering electronic engineering information engineering Wireless Ultra fast lcsh:TP1-1185 ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Electrical and Electronic Engineering Instrumentation rechargeable sensor networks business.industry Electrical engineering 020206 networking & telecommunications 020302 automobile design & engineering Atomic and Molecular Physics and Optics ultra-fast sensors Software deployment business Wireless sensor network |
| Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 18, Iss 9, p 2771 (2018) Sensors Volume 18 Issue 9 |
| ISSN: | 1424-8220 |
| Popis: | The employment of mobile vehicles to charge sensors via wireless energy transfer is a promising technology to maintain the perpetual operation of wireless sensor networks (WSNs). Most existing studies assumed that sensors are powered with off-the-shelf batteries, e.g., Lithium batteries, which are cheap, but it takes some non-trivial time to fully charge such a battery (e.g., 30&ndash 80 min). The long charging time may incur long sensor dead durations, especially when there are many lifetime-critical sensors to be charged. On the other hand, other studies assumed that every sensor is powered with an ultra-fast charging battery, where it only takes some trivial time to replenish such a battery, e.g., 1 min, but the adoption of many ultra-fast sensors will bring about high purchasing cost. In this paper, we propose a novel heterogeneous sensor network model, in which there are only a few ultra-fast sensors and many low-cost off-the-shelf sensors. The deployment cost of the network in the model is low, as the number of ultra-fast sensors is limited. We also have an important observation that we can significantly shorten sensor dead durations by enabling the ultra-fast sensors to relay more data for lifetime-critical off-the-shelf sensors. We then propose a joint charging scheduling and routing allocation algorithm, such that the longest sensor dead duration is minimized. We finally evaluate the performance of the proposed algorithm through extensive simulation experiments. Experimental results show that the proposed algorithm is very promising and the longest sensor dead duration by it is only about 10% of those by existing algorithms. |
| Databáze: | OpenAIRE |
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