A multi-hop optimal path selection method for wireless sensors

Abstract

The invention belongs to the technical field of wireless sensor networks, and specifically relates to a multi-hop optimal path selection method for wireless sensor networks; the method includes establishing an energy efficiency calculation model to calculate remaining energy according to initial node energy and transmission node consumption; and calculating remaining energy according to neighbor nodes Information and next hop node location information, establish a data aggregation model, calculate the distance between the cluster head and the member nodes; determine m initial cluster centers according to the node density; use the improved IF‑THEN The membership function in the fuzzy rules corresponds to the output of m optimal cluster heads; the information is sent to the corresponding optimal cluster heads, and the data is transmitted to the destination through multiple forwarding between the optimal cluster heads; according to the number of iterations and inter-cluster transmission Success rate, discarding or merging invalid paths, and completing the path search; by evaluating the path quality, competitively selecting the optimal path from the searched paths. The invention can effectively reduce and balance the energy consumption of the network and prolong the service life of the network.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and relates to a fuzzy algorithm-based optimal cluster head selection and an energy-efficient wireless sensor network routing algorithm, specifically a multi-hop optimal path selection method for wireless sensors. Background technique [0002] A wireless sensor network consists of small and tiny devices scattered across various regions for event monitoring. However, the general sensor nodes are deployed in relatively harsh environments, and it is very difficult to charge the nodes or replace the batteries. The goal of any wireless sensor network is to send data to the destination node, and link quality of service and energy consumption have always been important challenges for wireless sensor networks. In multi-hop wireless sensor networks, due to its high packet loss rate and energy utilization , a reliable link is required to realize end-to-end data transmission, and using mul...

AI Technical Summary

Problems solved by technology

However, the general sensor nodes are deployed in relatively harsh environments, and it is very difficult to charge the nodes or replace the batteries.

The goal of any wireless sensor network is to send data to the destination node, and link quality of service and energy consumption have always been important challenges for wireless sensor networks. In multi-hop wireless sensor networks, due to its high packet loss rate and energy utilization , requires a reliable link to achieve end-to-end data transmission, and using multiple paths to transmit data may lead to multiple retransmissions, resulting in resource consumption and long delays

[0003] Existing methods are mainly based on single-path routing. A single-path can calculate system complexity and resource utilization with minimum power to achieve network throughput. However, when the path fails to send data packets and generates additional overhead, the single-path Routing cannot solve such problems as above

Although multipath can be used to meet the requirements of link quality of service and other requirements, the multiple forwarding of node data will cause interference to the wireless channel, and the increase in the number of paths will lead to excessive energy consumption

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