ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data

Vol. 2, No. 4, Dec. 2018


Advanced Flocking Control Algorithms in Mobile Sensor Networks | Short Letter

a Thai Nguyen University of Technology, Thai Nguyen, Viet Nam

Highlights and Novelties


1- A new control algorithm is proposed to lead mobile sensors for collecting data.

2- The algorithm combines with compressed sensing techniques to sample sensing data for energy efficient purposes.

3- Simulation and experimental results are provided to clarify the algorithm, and show the promising points for real applications.


Manuscript Abstract
Mobile sensor networks (MSNs) have been facilitating many applications in different fields for both event detection and data collection purposes. Sensors are attached in mobile robots or vehicles to sense, measure or to detect events based on specific applications. Flocking control algorithm have been developed and applied in leading robots in sensing areas to detect or to build scalar maps. The group of robots or mobile sensors connect to each other based on a communication. All the mobile sensors need to maintain their connections all the time while working in the field. Due to the energy limitation, the sensors have limited communication range that cannot guarantee that the school of sensors connected all the time. This work proposes a new method to overcome the problem by using a data processing method, called Compressed sensing, that allows the mobile sensors can be separated sometimes and still can collect all sensing data needed to build a scalar map at each distributed mobile sensor. In addition, simulation and experimental results are provided to clarify the algorithm.

Keywords
 Flocking control algorithms   Mobile sensor   Data collection   Compressed sensing   Communication range 

Copyright
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.

Cite this manuscript as
Minh Nguyen, "Advanced Flocking Control Algorithms in Mobile Sensor Networks," ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB), vol. 2, no. 4, pp. 4-9, Dec. 2018.

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