TY - GEN
T1 - An energy estimation model for mobile sensor networks
AU - Tariq, Muhammad
AU - Macuha, Martin
AU - Park, Yong Jin
AU - Sato, Takuro
PY - 2010/10/21
Y1 - 2010/10/21
N2 - Mobile sensor networks have received significant attention recently. Mobile sensors are deployed to achieve network load balancing, prolonging network lifetime, and improving network coverage, by monitoring critical areas where manual sensor deployment cannot be performed. To achieve these goals, energy estimation is one of the main constraints and concerns to consider, while deploying mobile sensors in a sensor field. Most of the energy models designed for sensor networks assumed static sensors. In this paper, we propose a comprehensive energy model to estimate the overall energy consumption through power dissipation, for both static and mobile sensors in the potential sensor fields. We calculate the total remaining lifetime of mobile sensor networks from the total power dissipation. By predicting the remaining lifetime of any network in different network scenarios at a given instance of time, an optimum network strategy can be designed for a given application.
AB - Mobile sensor networks have received significant attention recently. Mobile sensors are deployed to achieve network load balancing, prolonging network lifetime, and improving network coverage, by monitoring critical areas where manual sensor deployment cannot be performed. To achieve these goals, energy estimation is one of the main constraints and concerns to consider, while deploying mobile sensors in a sensor field. Most of the energy models designed for sensor networks assumed static sensors. In this paper, we propose a comprehensive energy model to estimate the overall energy consumption through power dissipation, for both static and mobile sensors in the potential sensor fields. We calculate the total remaining lifetime of mobile sensor networks from the total power dissipation. By predicting the remaining lifetime of any network in different network scenarios at a given instance of time, an optimum network strategy can be designed for a given application.
KW - Energy estimation
KW - Mobile sensor networks
KW - Network lifetime
KW - Power dissipation
UR - http://www.scopus.com/inward/record.url?scp=77957947589&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957947589&partnerID=8YFLogxK
U2 - 10.1109/SENSORCOMM.2010.82
DO - 10.1109/SENSORCOMM.2010.82
M3 - Conference contribution
AN - SCOPUS:77957947589
SN - 9780769540962
T3 - Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
SP - 507
EP - 512
BT - Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
T2 - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
Y2 - 18 July 2010 through 25 July 2010
ER -