Energy Characterisation in Opportunistic Crowdsensing Data collection Framework

dc.contributor.author Sahoo, Ramesh K.
dc.contributor.author Pradhan, Satish Kumar
dc.contributor.author Sethi, Srinivas
dc.contributor.author Udgata, Siba K.
dc.date.accessioned 2022-03-27T06:07:47Z
dc.date.available 2022-03-27T06:07:47Z
dc.date.issued 2020-03-01
dc.description.abstract Sensing is emerged as a vital parameter to monitor current status of environment and infrastructures. In this paper, we simulate and analyze the performance of the Wi-Fi and Bluetooth in terms of energy consumption in Crowdsensing environment. For short range wireless communication, Bluetooth has emerged as a capable and energy efficient platform as compared to the Wi-Fi in context to energy. A model has been proposed to compute the energy used by considering Wi-Fi and Bluetooth with an idle mode of LTE. It is considered as derived values of transmission time and power consumption of Bluetooth instead of their fixed values.
dc.identifier.citation 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020
dc.identifier.uri 10.1109/ICCSEA49143.2020.9132901
dc.identifier.uri https://ieeexplore.ieee.org/document/9132901/
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/9397
dc.subject Crowdsensing
dc.subject Mobile Crowdsensing (MCS)
dc.subject Opportunistic Sensing
dc.title Energy Characterisation in Opportunistic Crowdsensing Data collection Framework
dc.type Conference Proceeding. Conference Paper
dspace.entity.type
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