Optimizing Node Deployment in Rechargeable Camera Sensor Networks for Full-View Coverage

Zhu, Xiaojian; Zhou, Meng Chu; Abusorrah, Abdullah

doi:10.1109/jiot.2021.3126653

Cited by 19 publications

(1 citation statement)

References 40 publications

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“…In contrast, cameras have a greater directionality in their sensing, hence deploying numerous cameras in a network can increase the field‐of‐view coverage when being oriented in different directions or placed at different locations (Steenweg et al, 2017 ). Camera sensor networks can also improve object detection, identification and measurement accuracy when multiple cameras record the same environment from different perspectives (Zhu et al, 2021 ). Sensor networks can also deploy diverse types of recorders, such as the infrared sensors and digital cameras found in camera traps (Swann et al, 2004 ), and the multisensory devices used for bat monitoring (Gottwald et al, 2021 ).…”

Section: From Automated Data Collection To Ecological Knowledgementioning

confidence: 99%

Towards the fully automated monitoring of ecological communities

et al. 2022

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Ecosystems are increasingly exposed to stressors, leading to unprecedented rates of biodiversity decline globally (Capdevila et al., 2022;Díaz et al., 2019). Our ability to reliably forecast ecosystems dynamics is limited by our capacity to understand what governs their composition, dynamics, function and structure (Dietze et al., 2018;Petchey et al., 2015). To drive predictive ecology forward and design appropriate conservation strategies, we therefore need access to long-term, highresolution and standardised information about ecosystems' abiotic and biotic components (Farley et al., 2018;

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