Energy-equalized workflow

Abstract

The invention provides a workflow of an energy balancing method, which comprises the following steps that: 01, after a node finishes deployment and networking initialization, the node starts to collect original data and transmits the processed data to a Sink hop by hop, which is uplink communication and finishes the first round of data communication; 02, acquiring related information from an application layer by an energy balancing module; step 03, according to the related information provided by the application layer, the energy balance module acquiring an algorithm level in a preset compression algorithm set; 04, acquiring related information from the network transmission layer and the lower layer of the network transmission layer by the energy balancing module; step 05, the energy balance module calculates the energy consumption of the local node in the first round of data communication according to the known parameters; step 06, the energy balance module transmits the calculated total node energy consumption of the current round to a physical layer in a downlink manner, and communicates to a back node in a downlink manner through a message frame; the method has the advantages that saving and balancing of energy consumption are considered simultaneously, so that the network service life is prolonged.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an energy balancing workflow. Background technique [0002] The Internet of Things (IoT) is known as the third wave of the development of the global information industry after computers and the Internet. Its concept is developed from wireless sensor networks. Therefore, wireless sensor networks are considered to be the industrial core of the development of the entire Internet of Things. [0003] As the basic component of Wireless Sensor Network (WSN), sensor nodes are deployed in the monitoring area, and the collected data are self-organized and routed to the sink node in the form of wireless communication. Via Ethernet or satellite, the data is transmitted to the management node and saved. The client can configure and manage the entire network through the management node, and issue monitoring tasks. This operating system constitutes the basic form of wireless s...

AI Technical Summary

Problems solved by technology

However, both routing and topology control mechanisms require a large amount of communication energy consumption, that is, frequent information exchange between nodes, which greatly reduces the effect of extending network life.

On the other hand, the research on the data processing algorithm in the network focuses on the reduction of the total energy consumption of communication on a single node or link, and does not take into account the imbalance of energy consumption (see authorized patents Yang Huazhong, Ying Beihua, Liu Wei et al.; A compressed decision method for reducing energy consumption in wireless sensor networks; China, ZL200810238934.3; 2009-10-21)

Therefore, the current joint optimization problem that combines data processing in the network and energy balance of the entire network has not been well solved. Energy saving and balance need to be considered at the same time to truly achieve the purpose of network life extension.

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