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| Content Provider | ACM Digital Library |
|---|---|
| Author | Xing, Guoliang Tan, Xiaobo Tan, Rui Wang, Yu Zhou, Ruogu Wang, Jianxun |
| Copyright Year | 2014 |
| Abstract | Monitoring important aquatic processes like harmful algal blooms is of increasing interest to public health, ecosystem sustainability, marine biology, and aquaculture industry. This article presents a novel approach to spatiotemporal aquatic field reconstruction using inexpensive, low-power mobile sensing platforms called robotic fish. Robotic fish networks are a typical example of cyber-physical systems where the design of cyber components (sensing, communication, and information processing) must account for inherent physical dynamics of the robots and the aquatic environment. Our approach features a $\textit{rendezvous-based}$ mobility control scheme where robotic fish collaborate in the form of a $\textit{swarm}$ to sense the aquatic environment in a series of carefully chosen rendezvous regions. We design a novel feedback control algorithm that maintains the desirable level of wireless connectivity for a sensor swarm in the presence of significant environment and system dynamics. Information-theoretic analysis is used to guide the selection of rendezvous regions so that the spatiotemporal field reconstruction accuracy is maximized subject to the limited sensor mobility. The effectiveness of our approach is validated via implementation on sensor hardware and extensive simulations based on real data traces of water surface temperature field and on-water ZigBee wireless communication. |
| Starting Page | 1 |
| Ending Page | 27 |
| Page Count | 27 |
| File Format | |
| ISSN | 15504859 |
| e-ISSN | 15504867 |
| DOI | 10.1145/2505767 |
| Volume Number | 10 |
| Issue Number | 4 |
| Journal | ACM Transactions on Sensor Networks (TOSN) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-06-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Robotic sensor swarm Connectivity control Field reconstruction Movement scheduling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications |
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