IoT-Based Surveillance Camera Distribution Using Triangle Geometry

Document Type

Conference Proceeding

Source of Publication

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

Publication Date

7-6-2023

Abstract

IoT systems provide excellent solutions to many applications in both civilian and military aspects. This is even facilitated by the advent of many types of cameras with the diminishing cost of communication devices. We focus on the surveillance system that collaboratively monitors an intended area. A good design of such systems should ensure complete coverage with the ability to detect and track objects. Existing surveillance systems produce sensing coverage redundancy with extra communication overhead and cost. This paper presents an IoT-based surveillance system that exhibits many features. First, it provides an efficient distributed network clustering algorithm based on the Field of View (FoV) of cameras. Second, maximum area coverage can be achieved with a minimum number of camera sensors. Simulation results show that our proposed camera distribution algorithm outperforms other existing techniques in terms of the needed number of cameras, coverage percentage, and cluster size. We also believe that the efficiency of our algorithm can be improved with the involvement of the reinforcement learning approach where dynamic camera adaptation can be achieved based on the traffic distribution and changing conditions in the surveillance area.

ISBN

979-8-3503-1140-2

Publisher

IEEE

Volume

00

First Page

2193

Last Page

2198

Disciplines

Computer Sciences

Keywords

Costs, Surveillance, Heuristic algorithms, Simulation, Redundancy, Clustering algorithms, Reinforcement learning

Indexed in Scopus

no

Open Access

no

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