%0 Conference Paper %1 chiasserini04modelling %A Chiasserini, C.-F. %A Garetto, M. %B INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies %D 2004 %K Markov Modeling WSN %P -231 %R 10.1109/INFCOM.2004.1354496 %T Modeling the performance of wireless sensor networks %U http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1354496 %V 1 %X A critical issue in wireless sensor networks is represented by the limited availability of energy within network nodes; therefore making good use of energy is a must. A widely employed energy-saving technique is to place nodes in sleep mode, corresponding to a low-power consumption as well as to reduced operational capabilities. In this work, we develop a Markov model of a sensor network whose nodes may enter a sleep mode, and we use this model to investigate the system performance in terms of energy consumption, network capacity, and data deliver delay. Furthermore, the proposed model enables us to investigate the trade-offs existing between these performance metrics and the sensor dynamics in sleep/active mode. Analytical results present an excellent matching with simulation results for a large variety of system scenarios showing the accuracy of our approach.

@inproceedings{chiasserini04modelling, abstract = { A critical issue in wireless sensor networks is represented by the limited availability of energy within network nodes; therefore making good use of energy is a must. A widely employed energy-saving technique is to place nodes in sleep mode, corresponding to a low-power consumption as well as to reduced operational capabilities. In this work, we develop a Markov model of a sensor network whose nodes may enter a sleep mode, and we use this model to investigate the system performance in terms of energy consumption, network capacity, and data deliver delay. Furthermore, the proposed model enables us to investigate the trade-offs existing between these performance metrics and the sensor dynamics in sleep/active mode. Analytical results present an excellent matching with simulation results for a large variety of system scenarios showing the accuracy of our approach.}, added-at = {2009-10-28T10:27:05.000+0100}, author = {Chiasserini, C.-F. and Garetto, M.}, biburl = {https://www.bibsonomy.org/bibtex/2085c4ca7f0b3e7191dc4f9294ed6bb22/derkling}, booktitle = {INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies}, description = {Welcome to IEEE Xplore 2.0: Modeling the performance of wireless sensor networks}, doi = {10.1109/INFCOM.2004.1354496}, interhash = {423ac712e1eb7123d589f9d78eaedd3e}, intrahash = {085c4ca7f0b3e7191dc4f9294ed6bb22}, issn = {0743-166X}, keywords = {Markov Modeling WSN}, month = {March}, pages = {-231}, timestamp = {2009-10-28T10:27:05.000+0100}, title = {Modeling the performance of wireless sensor networks}, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1354496}, volume = 1, year = 2004 }