|International Computer Science and Engineering Society (ICSES)|
ICSES Transactions on Computer Networks and Communications
Vol. 7, No. 1, Sep. 2021
Toward Energy-Efficient Framework for UAVs, Mobile Robots Assisted Data Collection in Wireless Sensor Networks | Original Paper
Thang Tran a,, Minh Nguyen b, Trang Le c
Highlights and Novelties
Wireless sensor networks (WSNs) are widely used effectively in many applications in both civil and military fields. Sensor nodes are defined as small autonomous entities with low computational capabilities and limited energy resources. With the limitations, the networks can stop operating if some static nodes deplete all their pre-charged batteries. Either mobile sensors/robots (MR) or unmanned aerial vehicles (UAVs) are deployed in some sensing fields to support WSNs with data collection to tackle the energy limitation issues. MRs have more ability of mobility and robustness in collecting data. However, these MRs still need to face long distance communications. The UAVs support the MRs to relay the sensing data to the base-station. In this work, different the scenarios of MR and UAV assisted data collection methods for WSNs are proposed as energy-efficient approaches. Structures, topologies among the sensor nodes, MRs and UAVs as a connected communication network are presented with some comparisons and results. Benefits and challenges are analyzed to point out some potential research directions in the future developments.
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors.This manuscript is published in open-access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
Cite this manuscript as
Thang Tran, Minh Nguyen, Trang Le, "Toward Energy-Efficient Framework for UAVs, Mobile Robots Assisted Data Collection in Wireless Sensor Networks," ICSES Transactions on Computer Networks and Communications (ITCNC), vol. 7, no. 1, pp. 21-29, Sep. 2021.
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