A Novel Approach of Energy Efficiency Based on Multiple Data Collector Placement for Wireless Seismic Sensor Network

Since the geological environments are highly unpredictable and the battery capacity of seismometer nodes in the wireless seismic sensor networks (WSSN) is constraint, the lifetime of the network that using conventional single data collector may be dramatically reduced. Even with the most energy-efficient algorithm that deploys multiple data collectors, it is still too difficult to satisfy the system requirement in terms of energy consumption. In this paper, we therefore propose an optimal solution that uses multiple data collectors to minimize the total energy consumption of data transmissions in WSSN. The aim of this work is not only to determine how many data collectors are required, but also to find out how to place them in an effective way, so that the energy efficiency of the system can be further enhanced. In so doing, an optimal solution that is based on the placement of multiple data collectors is proposed. A two-step approach is adopted, in which the number of required data collectors is firstly calculated based on a graph theoretic approach and then the placement of the data collectors are further optimized according to maximize the network lifetime. The simulation analysis shows that with a given number of seismometer nodes, using the proposed algorithm, an optimal value can always be found to extend the WSSN lifetime. As the number of seismometer nodes are selected to be 200, 500, 800 and 1000, the lifetime of the WSSN can be improved by 176%, 236.8%, 408.4% and 575%, respectively.