Abstract
In allusion to the application of compressed sensing theory in multi-target localization in wireless sensor networks, the paper proposes a method of sparse signal reconstruction based on artificial bee colony algorithm and designs partial update strategy of location coding. A mode of disturbances mutation operation for food source exploitation is designed to improve the search efficiency in high-dimensional solution space; it also improves the global search efficiency of the algorithm. The comparing of simulation analysis with other algorithms verifies that the algorithm effectively solves problem of multi-target localization in wireless sensor networks and has better resistance to interference.
Highlights
Localization service as one of the important basic functions of the wireless sensor network [1], whether for the location information of the sensor node itself or for the targeting localization of the monitored area, is the basis of other applications such as environmental detection, target tracking, and structural health monitoring [2]
It can be said that the wireless sensor network will not have any effect without the location information [3]
Like other monitoring applications, in a centralized algorithm, each sensor node responsible for perception of location information needs to send the data of signal strength of each target to the sink, the sink node with strong computing power runs centralized algorithms to recover the location of the target
Summary
Localization service as one of the important basic functions of the wireless sensor network [1], whether for the location information of the sensor node itself or for the targeting localization of the monitored area, is the basis of other applications such as environmental detection, target tracking, and structural health monitoring [2]. Comparing with other algorithms the RSS-based algorithms has advantages as no need for special hardware, low cost, and easy access it has been widely studied and applied. In these localization algorithms, because of the limits of computing ability and energy consumption in sensor node, centralized algorithm has higher accuracy than distributed one. This paper presents a reconstruction method of compression perception based on discrete artificial bees colony algorithm to localize multi-target in wireless sensor network This method transfers the location information of target into a discrete encoding of food source in artificial honey bees system, obtaining suboptimal information of location reconstruction by foraging bees iterate operation, achieves signal. It shows better performance by verifying the effectiveness of the proposed method through simulation analysis and comparing with other recovery algorithms
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