Sleeping scheme based on grey forecast and time division for heterogeneous WSNs Online publication date: Wed, 30-May-2018
by Huiru Cao; Hehua Yan
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 11, No. 2, 2018
Abstract: The current evaluation models of hierarchical wireless sensor networks (WSNs) are based on some idealistic hypothesis, such as fixed amount of data transmission and electing cluster head mechanism. In order to solve these problems, extend network life of clustering-WSNs by reducing unnecessary monitoring and power consumption, a sleeping scheme based on grey forecast model and time division (GFTD) in cluster-WSNs is proposed. Using grey forecast algorithm and historical records to computing sleep time, this scheme dynamically predicts and adjusts nodes sleep time. Moreover, fixed cluster head strategy and a mechanism of data transmission in time division multiplexing (TDM) mode are presented to reduce the process of cluster head selection and the frequency of the state-switching of nodes. Meantime, the algorithm could ensure the integrity of transmitted information. Simulation results show that the algorithm of GFTD, compared to other existing, exhibit a longer working time with more sleeping time and more residual energy. Lastly, a simple WSN is built up, experimental results show that the relative error of sleep time calculated by the GFTD and the theoretical value is less than 5%.
Online publication date: Wed, 30-May-2018
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