K-weak fence construction and mobile charging scheduling method for wireless rechargeable sensor network

Abstract

The invention discloses a k-weak fence construction and mobile charging scheduling method for a wireless rechargeable sensor network. The wireless rechargeable sensor network includes a two-dimensional rectangular narrow-band region which is randomly provided with N omnidirectional sensor nodes, and a movable charging vehicle, and relevant parameters can be set according to the network scale; the method comprises the following specific steps: step 1, constructing a fence map according to information of a monitoring area; acquiring coverage radius, coverage energy consumption and position information of the sensor nodes from the area, constructing a fence map, and setting edge weight, flow and the like; step 2, solving the fence network structure by using a minimum-cost maximum-flow algorithm; step 3, finding sensor nodes forming each fence according to the information of the minimum-cost maximum-flow algorithm; step 4, calculating various parameters of the charging vehicle according to the solved fence nodes; and step 5, calculating the mark number of each fence, and determining the charging sequence. By combining the fence covering and charging requirements, the charging efficiency of the charging vehicle is improved, and the fence covering requirement is ensuredThe invention discloses a k-of a wireless rechargeable sensor network. The invention discloses a weak fence construction and mobile charging scheduling method. The method comprises the following specific steps that N omnidirectional sensor nodes and a movable charging vehicle are randomly deployed in a two-dimensional rectangular narrow-band area, and related parameters can be set according to the network scale; the method comprises the following specific steps: step 1, constructing a fence map according to monitoring area information; and obtaining the coverage radius, the coverage energy consumption and the position information of the sensor node from the area, constructing a fence diagram, and setting the edge weight, the flow and the like. And step 2, solving the fence network construction by using a minimum cost maximum flow algorithm. And step 3, according to the information of the minimum cost maximum flow algorithm, finding out the sensor node forming each fence. And step 4, calculating each parameter of the charging vehicle according to the solved fence node. And 5, calculating the mark number of each fence, and determining the charging sequence. The requirements of fence covering and charging are combined, the charging efficiency of the charging vehicle is improved, and the requirement for fence covering is met.

Description

technical field [0001] The invention relates to the field of wireless sensor networks, in particular to a k-weak barrier construction and scheduling method for mobile charging. Background technique [0002] With the development of society and the advancement of science and technology, wireless sensor networks are more and more widely used in many fields such as military security and environmental monitoring. In border intrusion monitoring applications, wireless sensor nodes need to deploy monitoring sensor nodes according to the shape and terrain characteristics of the monitoring area to meet the requirements of seamless fence coverage to prevent intrusion. very important issue. [0003] There are various studies on fence construction methods in fence coverage, but there are few studies considering fence coverage and wireless charging at the same time. For example, Kumar proposed a sleep scheduling strategy in the paper "Maximizing the Lifetime of a Barrier of WirelessSens...

AI Technical Summary

Problems solved by technology

However, none of these studies can guarantee the continuous and permanent operation of the network. Therefore, we propose a k-fence construction method combined with point-to-point wireless charging technology, and propose a scheduling strategy for charging cars

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