Abstract
In wireless sensor works (WSNs), data collection is the most important evaluating criterion as well as network lifetime. This paper proposes a novel approach to investigate the most easily adjustable factors, these factors have an influence on network data collection both in coordinated and randomized duty-cycled sleep schedule networks. By analyzing and calculating the energy consumption, expected network lifetime and three major parameters are recognized as the indexes for evaluating the data collection. In addition, since most current WSNs adopt coordinated duty-cycled sleep schedule to reduce energy consumption and prolong network lifetime, we put forward a method to find the most optimal network parameters to guarantee the superiority of this kind of sleep schedule. We choose Connected k-Neighborhood (CKN) as the model of the coordinated sleep schedule. Simulation results show the most optimal network parameters can be found under expected network lifetime.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Guo, H., Han, G., Zhang, C., Chao, J., Shu, L. (2013). Impacts of Network Parameters on Data Collection in Duty-cycled Wireless Sensor Networks. In: Qian, H., Kang, K. (eds) Wireless Internet. WICON 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41773-3_18
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DOI: https://doi.org/10.1007/978-3-642-41773-3_18
Publisher Name: Springer, Berlin, Heidelberg
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