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Abstract
Considering the movement of a sink node in this study to solve the data transmission problem of sensor nodes in a 3D network environment, we propose a Data Collection Algorithm of a 3D wireless sensor network (DCA_3D) that weighs node coverage rate and lifetime. DCA_3D establishes a data collection optimization model that weighs node coverage rate and lifetime with the constraints of the sink node’s moving path selection, data flow, energy consumption, and link transmission. Subsequently, DCA_3D calculates the fitness value of the sink node’s moving path by solving the data collection optimization model with the known sink node’s moving path. Then it uses a modified artificial bee colony algorithm to solve the moving path selection problem of the sink node, and finally obtains the optimal scheme. In the scheme, sink node can find the optimal moving path, whereas the sensor node can find the optimal data communication path. The simulation results show that regardless of the moving path length of the sink node, the maximum data collection hops of the sink node and the number of static sensor nodes change, DCA_3D can find the optimal moving path of the sink node. It can improve the coverage rate of the sensor nodes, the network lifetime and average data transmission amount, and reduce the average energy consumption variance and the average packet loss rate. DCA_3D outperforms the state-of-arts such as RAND, GREED, EDG_3D, and ANT.
Highlights
W IRELESS Sensor Networks(WSNs), including one or several kinds of sensors, such as visual, temperature, sound, infrared, radar, and seismic sensors, have been widely studied and applied in recent decades [1], [2]
Our contributions are as follows: 1. We study on a cubic grid generation method in the 3D environment, and express the constraints of the sink node’s moving path selection, data flow, energy consumption, and link transmission by mathematical formulas
ESTABLISHMENT OF THE OPTIMIZATION MODEL we model a data collection optimization model that weighs node coverage rate and lifetime
Summary
W IRELESS Sensor Networks(WSNs), including one or several kinds of sensors, such as visual, temperature, sound, infrared, radar, and seismic sensors, have been widely studied and applied in recent decades [1], [2]. WSNs that are distributed in 2D planes They establish and solve the network lifetime optimization models when sink nodes stay at several fixed positions [6] and [7], but do not consider the process on how to design the moving path of sink nodes. EDG_3D considers the linear movements of mobile sink nodes and courier nodes, establishes and solves an optimization model to maximize the network lifetime and throughput, and minimize the data transmission delay. This scheme reduces the communication energy consumption of mobile sink nodes and courier nodes, but the linear movements of these nodes are too simple.
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