Abstract
In order to solve the problem of low efficiency and high energy consumption in data processing, In this paper, for reducing the communication overhead of data aggregation, we put forward a cluster division based data aggregation scheme for wireless sensor networks in which the cluster is divided into three subareas and some report nodes are assigned to each subarea. Simulation results show that, compared with LEACH algorithm, BP neural network and PSO-BP algorithm, more than 50% lower compression error is decreased and the simplicity of the improved algorithm makes it suitable for massive and the long term environmental monitoring network.
Highlights
As a significant component of Internet of Things, Wireless Sensor Network (WSN) with its advanced information perception, data interaction and other capabilities has attracted extensive attention of the researchers in recent years
It will inevitably lead to problems such as address information loss and data rate mismatching to introduce the IEEE 802.11 protocol conversion into the multi-sinks wireless sensor network. To solve the former, this paper introduces a new design of data domain, which divides the data payload into address information and data information
For reducing the communication overhead of data aggregation, a cluster division based data aggregation scheme for wireless sensor networks in which the cluster is divided into three subareas and some report nodes are assigned to each subarea
Summary
As a significant component of Internet of Things, Wireless Sensor Network (WSN) with its advanced information perception, data interaction and other capabilities has attracted extensive attention of the researchers in recent years. WSN consists of a large number of low-power, low-cost, and multi-functional micro sensors which provide data acquisition and information processing service, and be able to communicate with each other through the wireless channels. It can form a task-oriented network system on the basis of wireless communication technology and self-organization method. Densely deployed sensor nodes need to transmit the data information to the user terminal or the control center through the sole sink in the traditional wireless sensor networks This many-to-one transmission mode put WSNs at enormous risks in many aspects such as energy balancing and reliability. With the widespread applications of WSN, the single sink node structure cannot meet the demand for rapid development of WSNs[1,2]
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