Abstract
Internet of Things (IoTs) are increasingly widespread in the field of health care, smart city and smart home application, industrial and agricultural monitoring, automation, etc. With its growing scale of networks, there are a large amount of data in IoTs needing to be sensed, transmitted, and processed. Resource-limited Wireless Sensor Networks (WSNs) as a perceptual layer of IoTs are hard to handle massive uncompressed sensing data. Compressive data gathering (CDG), which applies compressive sensing theory to data gathering, is a perfectly matching method for data compressing and gathering in WSNs. This promising method has attracted lots of researchers’ attention. In this paper, we attempt to survey substantial references about CDG in WSNs. According to their technology schemes, we classify the published references into three categories, i.e., routing protocol of CDG, clustering scheme of CDG, and CDG combined with other technologies. The merits and defects of each method are highlighted. Our work aims to provide an insight into CDG and promote improvements of this technology.
Highlights
The expansion of Internet of Things (IoTs) has given rise to smart city, smart home, industrial and agricultural monitoring and automation, intelligent transportation, and so on, which immensely facilitates human’s life
A Wireless Sensor Networks (WSNs) is composed of hundreds to thousands of sensor nodes acquiring environmental parameters such as temperature, humidity, flow, distance, and velocity, and these data are transmitted to the sink or fusion center for further processing
The signal x can be regarded as the data vector sampled by N sensor nodes in the WSN
Summary
The expansion of Internet of Things (IoTs) has given rise to smart city, smart home, industrial and agricultural monitoring and automation, intelligent transportation, and so on, which immensely facilitates human’s life. We need a more energy-efficient method for data gathering in WSNs. Data compression technology is usually applied in data gathering in WSNs. traditional data compression methods such as entropy coding often bring significant extra computation and control overheads which are not suitable for nodes with limited computing resources. Reference [2] proposed a complete scheme to apply CS to data gathering in large-scale WSNs for the first time, which confirmed the advantages of CDG. The lifetime of WSNs can be prolonged Around these goals, there are a lot of CDG schemes proposed in references. Clustering topology control technology is widely used in WSNs for load balance and energy efficiency. It can be applied in CDG for performance enhancement.
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