A Routing Method for Balanced Energy Consumption

Abstract

The invention belongs to a routing method that uses a mixed potential energy field to realize balanced consumption of energy in the technical field of wireless sensor networks. Including network initialization, sending the depth value of the aggregation node, updating and sending the depth value of the first hop node, updating the routing table and determining the current parameter information of each node in the second hop, determining and updating the remaining energy value of the node, and setting the energy density value of the node Determination and update, processing of node generation and received data packets, determination of next hop candidate nodes, determination of mixed potential energy field values ​​of each next hop candidate node, determination of next hop preferred node and determination of next hop node. The invention first screens out the candidate nodes of the next hop node, and then screens out the preferred node and the next hop node from the candidate nodes. Therefore, it has the characteristics of uniform network load, balanced energy consumption of each node, avoiding premature blind spots in the network, prolonging the service life of energy, effectively improving the reliability and efficiency of network operation, and reducing operating costs.

Description

technical field [0001] The present invention relates to a routing method in the technical field of wireless sensor networks, in particular to a routing method that uses a mixed potential energy field to achieve balanced energy consumption. Lifetime of energy in network operation. Background technique [0002] In recent years, Internet of Things (IOT) is a hot topic. As one of the key technologies of the Internet of Things, Wireless Sensor Networks (WSNs) has also developed rapidly in the wave of industrialization of the Internet of Things. As an emerging information acquisition and processing technology that integrates multiple technologies such as intelligent sensing, wireless communication, and embedded systems, wireless sensor networks as information acquisition are widely used in military communications, environmental monitoring, medical health, space detection, and smart home and other fields have broad application prospects. [0003] In a wireless sensor network, ea...

AI Technical Summary

Problems solved by technology

[0015] Although this routing method overcomes the disadvantages of many energy efficient routing methods, such as premature failure due to unbalanced energy consumption in the network, it not only considers the node depth value, but also the node energy density value and Therefore, this method will not only cause data packets to be transmitted later, but also may cause routing loops and redundant hops, which will cause transmission delays and unnecessary energy consumption, restricting the effective transmission of data packets. Defects that affect the smooth and efficient operation of the network, and even cannot ensure that the data packets are finally transmitted to the sink node

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