TY - GEN
T1 - Combined human, antenna orientation in elevation direction and ground effect on RSSI in wireless sensor networks
AU - Ahmed, Syed Hassan
AU - Bouk, Safdar H.
AU - Javaid, N.
AU - Sasase, Iwao
PY - 2012
Y1 - 2012
N2 - In this paper, we experimentally investigate the combined effect of human, antenna orientation in elevation direction and the ground effect on the Received Signal Strength Indicator (RSSI) parameter in the Wireless Sensor Network (WSN). In experiment, we use MICAz motes and consider different scenarios where antenna of the transmitter node is tilted in elevation direction. The motes were placed on the ground to take into account the ground effect on the RSSI. The effect of one, two and four persons on the RSSI is recorded. For one and two persons, different walking paces e.g. slow, medium and fast pace, are analysed. However, in case of four persons, random movement is carried out between the pair of motes. The experimental results show that some antenna orientation angles have drastic effect on the RSSI, even without any human activity. The fluctuation count and range of RSSI in different scenarios with same walking pace are completely different. Therefore, an efficient human activity algorithm is need that effectively takes into count the antenna elevation and other parameters to accurately detect the human activity in the WSN deployment region.
AB - In this paper, we experimentally investigate the combined effect of human, antenna orientation in elevation direction and the ground effect on the Received Signal Strength Indicator (RSSI) parameter in the Wireless Sensor Network (WSN). In experiment, we use MICAz motes and consider different scenarios where antenna of the transmitter node is tilted in elevation direction. The motes were placed on the ground to take into account the ground effect on the RSSI. The effect of one, two and four persons on the RSSI is recorded. For one and two persons, different walking paces e.g. slow, medium and fast pace, are analysed. However, in case of four persons, random movement is carried out between the pair of motes. The experimental results show that some antenna orientation angles have drastic effect on the RSSI, even without any human activity. The fluctuation count and range of RSSI in different scenarios with same walking pace are completely different. Therefore, an efficient human activity algorithm is need that effectively takes into count the antenna elevation and other parameters to accurately detect the human activity in the WSN deployment region.
KW - Antenna orientation
KW - Ground effect
KW - MICAz
KW - RSSI
KW - WSN
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U2 - 10.1109/FIT.2012.17
DO - 10.1109/FIT.2012.17
M3 - Conference contribution
AN - SCOPUS:84874140994
SN - 9780769549279
T3 - Proceedings - 10th International Conference on Frontiers of Information Technology, FIT 2012
SP - 46
EP - 49
BT - Proceedings - 10th International Conference on Frontiers of Information Technology, FIT 2012
T2 - 10th International Conference on Frontiers of Information Technology, FIT 2012
Y2 - 17 December 2012 through 19 December 2012
ER -