Authors: Huiru Cao; Hehua Yan
Addresses: Nanfang College of Sun Yat-sen University, Guangzhou, China ' Guangdong Mechanical and Electrical College, Guangzhou, China
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%.
Keywords: wireless sensor network; WSN; sleeping forecast; heterogeneous network; grey forecast model; time division.
International Journal of Autonomous and Adaptive Communications Systems, 2018 Vol.11 No.2, pp.113 - 128
Received: 11 Jun 2015
Accepted: 15 Aug 2015
Published online: 30 May 2018 *