TY - JOUR
T1 - Architecture of green sensor mobile cloud computing
AU - De, Debashis
AU - Mukherjee, A.
AU - Ray, A.
AU - Roy, D.G.
AU - Mukherjee, S.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - © The Institution of Engineering and Technology 2016.This study presents an architecture of green sensor mobile cloud computing which integrates sensor network and mobile network with cloud computing. In the proposed scheme, the sensor data are transmitted to the cloud through a mobile device. To develop the proposed architecture both the indoor and outdoor region are considered. For indoor region light weight access point and home node base station are used by the mobile device for sensor data transmission to the cloud, whereas for outdoor region macrocell and microcell base stations are used. Simulation results present that using home node base station the power consumption at indoor region can be reduced by ?10% than the light weight access point, and using microcell base station at outdoor region the power consumption can be reduced by ~30% than the macrocell base station. Hence, using home node base station and microcell base station green sensor mobile cloud computing can be obtained at indoor and outdoor regions, respectively. In this study, an experimental analysis of the proposed architecture is also performed.
AB - © The Institution of Engineering and Technology 2016.This study presents an architecture of green sensor mobile cloud computing which integrates sensor network and mobile network with cloud computing. In the proposed scheme, the sensor data are transmitted to the cloud through a mobile device. To develop the proposed architecture both the indoor and outdoor region are considered. For indoor region light weight access point and home node base station are used by the mobile device for sensor data transmission to the cloud, whereas for outdoor region macrocell and microcell base stations are used. Simulation results present that using home node base station the power consumption at indoor region can be reduced by ?10% than the light weight access point, and using microcell base station at outdoor region the power consumption can be reduced by ~30% than the macrocell base station. Hence, using home node base station and microcell base station green sensor mobile cloud computing can be obtained at indoor and outdoor regions, respectively. In this study, an experimental analysis of the proposed architecture is also performed.
UR - https://www.scopus.com/pages/publications/84984707527
U2 - 10.1049/iet-wss.2015.0050
DO - 10.1049/iet-wss.2015.0050
M3 - Article
SN - 2043-6386
VL - 6
SP - 109
EP - 120
JO - IET Wireless Sensor Systems
JF - IET Wireless Sensor Systems
IS - 4
ER -