Energy Characterisation in Opportunistic Crowdsensing Data collection Framework
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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