Data MULEs: modeling a three-tier architecture for sparse sensor networks Export

@inproceedings{citeulike:420474, abstract = {This paper presents and analyzes an architecture to collect sensor data in sparse sensor networks. Our approach exploits the presence of mobile entities (called MULEs) present in the environment. MULEs pick up data from the sensors when in close range, buffer it, and drop off the data to wired access points. This can lead to substantial power savings at the sensors as they only have to transmit over a short range. This paper focuses on a simple analytical model for understanding performance as system parameters are scaled. Our model assumes two-dimensional random walk for mobility and incorporates key system variables such as number of MULEs, sensors and access points. The performance metrics observed are the data success rate (the fraction of generated data that reaches the access points) and the required buffer capacities on the sensors and the MULEs. The modeling along with simulation results can be used for further analysis and provide certain guidelines for deployment of such systems.}, author = {Shah, R. C. and Roy, S. and Jain, S. and Brunette, W.}, citeulike-article-id = {420474}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1203354}, comment = {Mobility for Communication}, journal = {Sensor Network Protocols and Applications, 2003. Proceedings of the First IEEE. 2003 IEEE International Workshop on}, keywords = {communication, for, mobility}, pages = {30--41}, posted-at = {2006-10-24 16:40:37}, priority = {3}, title = {Data MULEs: modeling a three-tier architecture for sparse sensor networks}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1203354}, year = {2003} }

TY - CONF ID - citeulike:420474 L3 - citeulike-article-id:420474 N2 - This paper presents and analyzes an architecture to collect sensor data in sparse sensor networks. Our approach exploits the presence of mobile entities (called MULEs) present in the environment. MULEs pick up data from the sensors when in close range, buffer it, and drop off the data to wired access points. This can lead to substantial power savings at the sensors as they only have to transmit over a short range. This paper focuses on a simple analytical model for understanding performance as system parameters are scaled. Our model assumes two-dimensional random walk for mobility and incorporates key system variables such as number of MULEs, sensors and access points. The performance metrics observed are the data success rate (the fraction of generated data that reaches the access points) and the required buffer capacities on the sensors and the MULEs. The modeling along with simulation results can be used for further analysis and provide certain guidelines for deployment of such systems. JF - Sensor Network Protocols and Applications, 2003. Proceedings of the First IEEE. 2003 IEEE International Workshop on EP - 41 TI - Data MULEs: modeling a three-tier architecture for sparse sensor networks SP - 30 KW - communication KW - for KW - mobility N1 - Mobility for Communication AU - Shah, RC AU - Roy, S AU - Jain, S AU - Brunette, W PY - 2003/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1203354 ER -