LoRaWAN-Based Energy-Efficient Surveillance by Drones for Intelligent Transportation Systems

Vishal Sharma, Ilsun You, Giovanni Pau, Mario Collotta, Jae Deok Lim and Jeong Nyeo Kim
Additional contact information
Vishal Sharma: Department of Information Security Engineering, Soonchunhyang University, Asan-si 31538, Korea
Ilsun You: Department of Information Security Engineering, Soonchunhyang University, Asan-si 31538, Korea
Giovanni Pau: Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
Mario Collotta: Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
Jae Deok Lim: Electronics and Telecommunications Research Institute, Daejeon 34129, Korea
Jeong Nyeo Kim: Electronics and Telecommunications Research Institute, Daejeon 34129, Korea

Energies, 2018, vol. 11, issue 3, 1-26

Abstract: Urban networks aim at facilitating users for better experience and services through smart platforms such as the Intelligent Transportation System (ITS). ITS focuses on information acquisition, sensing, contrivance control, data processing and forwarding to ground devices via user-specific application-interfaces. The utility of ITS is further improved via the Internet of Things (IoT), which supports “Connectivity to All”. One of the key applications of IoT-ITS is urban surveillance. Current surveillance in IoT-ITS is performed via fixed infrastructure-based sensing applications which consume an excessive amount of energy leading to several overheads and failures in the network. Such issues can be overcome by the utilization of on-demand nodes, such as drones, etc. However, drones-assisted surveillance requires efficient communication setup as drones are battery operated and any extemporaneous maneuver during monitoring may result in loss of drone or complete failure of the network. The novelty in terms of network layout can be procured by the utilization of drones with LoRaWAN, which is the protocol designated for Low-Power Wide Area Networks (LPWAN). However, even this architectural novelty alone cannot ascertain the formation of fail-safe, highly resilient, low-overhead, and non-redundant network, which is additionally the problem considered in this paper. To resolve such problem, this paper uses drones as LoRaWAN gateway and proposes a communication strategy based on the area stress, resilient factor, and energy consumption that avail in the efficient localization, improved coverage and energy-efficient surveillance with lower overheads, lower redundancy, and almost zero-isolations. The proposed approach is numerically simulated and the results show that the proposed approach can conserve a maximum of 39.2% and a minimum of 12.6% of the total network energy along with an improvement in the area stress between 89.7% and 53.0% for varying number of drones over a fixed area.

Keywords: LoRaWAN; urban surveillance; energy efficiency; drones; Intelligent Transportation System (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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