Abstract
Mobile sensor networks have been widely used to predict spatio-temporal physical phenomena for various scientific and engineering applications. To accommodate the realistic models of mobile sensor networks, we incorporated probabilistic wireless communication links based on packet reception ratio (PRR) with distributed navigation. We then derived models of mobile sensor networks that predict Gaussian random fields from noisecorrupted observations under probabilistic wireless communication links. For the given model with probabilistic wireless communication links, we derived the prediction error variances for further sampling locations. Moreover, we designed a distributed navigation that minimizes the network cost function formulated in terms of the derived prediction error variances. Further, we have shown that the solution of distributed navigation with the probabilistic wireless communication links for mobile sensor networks are uniformly ultimately bounded with respect to that of the distributed one with the R-disk communication model. According to Monte Carlo simulation results, agent trajectories under distributed navigation with the probabilistic wireless communication links are similar to those with the R-disk communication model, which confirming the theoretical analysis.
| Original language | English |
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| Title of host publication | Multiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems |
| Publisher | American Society of Mechanical Engineers |
| ISBN (Electronic) | 9780791857267 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | ASME 2015 Dynamic Systems and Control Conference, DSCC 2015 - Columbus, United States Duration: 2015 Oct 28 → 2015 Oct 30 |
Publication series
| Name | ASME 2015 Dynamic Systems and Control Conference, DSCC 2015 |
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| Volume | 3 |
Other
| Other | ASME 2015 Dynamic Systems and Control Conference, DSCC 2015 |
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| Country/Territory | United States |
| City | Columbus |
| Period | 15/10/28 → 15/10/30 |
Bibliographical note
Publisher Copyright:© 2015 by ASME.
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Control and Systems Engineering