A sensor node scheduling method for heterogeneous wireless sensor networks

Abstract

The invention relates to a sensor node scheduling method for a heterogeneous wireless sensor network. The method comprises a neighbor sensor node scheduling calculation method of an aggregation node and a sensor node and a working method of the sensor node. By adopting the sensor node scheduling method for the heterogeneous wireless sensor network, an area-covering increment optimization model, an arc-covering increment optimization model and a residual energy optimization model are put forward, and a multi-target scheduling model is established, so that the sensing heterogeneous scheduling model problem of the sensor node is solved; a heuristic solving method is put forward to solve a scheduling model, so that an optimal scheduling scheme of the sensor node can be obtained, and the network survival time is prolonged on the premise that the area coverage is guaranteed; a covering blind area repair method for awakening the sleeping sensor node is put forward, so that the energy of the sensor node is sufficiently utilized, and the area coverage is maximized; and all in all, the method improves the network survival time and the sensor node survival number, and keeps the average node energy consumption on a lower level.

Description

technical field [0001] The present invention relates to the technical field of communication, in particular to the technical field of wireless sensor networks, in particular to a sensor node scheduling method for heterogeneous wireless sensor networks. Background technique [0002] Compared with wired fixed data collection devices, Wireless sensor networks (WSNs) are a useful, efficient, and simple data collection solution. WSNs mainly consist of dense distributed autonomous sensor nodes with data perception, data processing and wireless communication. These wireless sensor nodes are electronic devices that are light, small, low-cost, battery-operated, and easy to install. WSNs can be applied to industrial and civil fields such as environmental monitoring, intelligent transportation, intelligent elderly care, smart home, smart factory, etc., and have great application value and market potential. [0003] In WSNs, the energy constraints of nodes limit the basic functions su...

AI Technical Summary

Problems solved by technology

However, the correlation coverage optimization algorithm of many heterogeneous static sensor nodes does not consider the network survival time and the repair of coverage blind spots caused by the failure of key sensor nodes, which is likely to cause premature splitting of the network and premature failure of key nodes.

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