Abstract
Considering the issue with respect to the high data redundancy and high cost of information collection in wireless sensor nodes, this paper proposes a data fusion method based on belief structure to reduce attribution in multi-granulation rough set. By introducing belief structure, attribute reduction is carried out for multi-granulation rough sets. From the view of granular computing, this paper studies the evidential characteristics of incomplete multi-granulation ordered information systems. On this basis, the positive region reduction, belief reduction and plausibility reduction are put forward in incomplete multi-granulation ordered information system and analyze the consistency in the same level and transitivity in different levels. The positive region reduction and belief reduction are equivalent, and the positive region reduction and belief reduction are unnecessary and sufficient conditional plausibility reduction in the same level, if the cover structure order of different levels are the same the corresponding equivalent positive region reduction. The algorithm proposed in this paper not only performs three reductions, but also reduces the time complexity largely. The above study fuses the node data which reduces the amount of data that needs to be transmitted and effectively improves the information processing efficiency.
Highlights
Wireless sensor network (WSN) is a multi-hop self-organizing system formed by wireless sensor nodes communicating with each other and connects the logic world with physical world, which have been considered as one of the most potential and influential technologies
A general concept of multi-granulation rough set based on multi-scale describes that an attribute of an object can only take one value in a single-scale information system where the object information is reflected at a fixed scale
This paper firstly studies the evidential characteristics of multi-granulation rough set based on multi-scale
Summary
Wireless sensor network (WSN) is a multi-hop self-organizing system formed by wireless sensor nodes communicating with each other and connects the logic world with physical world, which have been considered as one of the most potential and influential technologies. Due to the short communication distance of sensor nodes, limited information processing capabilities and the inability of a single node to provide all information, sensor nodes can only be deployed in an overlapping manner to obtain complete information about the object within the monitoring range. This will lead to a series of problems such as high circuit complexity, high data redundancy and high node energy consumption. A general concept of multi-granulation rough set based on multi-scale describes that an attribute of an object can only take one value in a single-scale information system where the object information is reflected at a fixed scale. A hierarchy of such obtained information granules can be organized to a system which is called multi-scale information system
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