Agricultural Internet of Things adaptive routing method based on fuzzy logic

Abstract

The invention discloses an agricultural Internet of Things adaptive routing implementation method based on fuzzy logic, which comprises the following steps: when a source node initiates a routing request, the source node generates and broadcasts an RREQ packet, an intermediate node establishes a reverse routing, calculates link quality, an energy factor and inter-node interference for an adjacent node sending the RREQ packet, adds a calculation result to the RREQ packet, and continues to forward the packet. And after receiving the RREQ packets, the destination node or the intermediate node reads field information in the RREQ packets, adds fields to the RREP packets and forwards the RREP packets by using a reverse route, and the source node sends M RREP packets to the fuzzy control system and outputs a next hop node with an optimal path through the fuzzy control system. According to the method, the farmland network packet transmissibility and the network throughput can be effectively improved, so that the agricultural Internet of Things sensing network has good scalability and robustness, and the problem of non-uniform node energy consumption in a data transmission process in a heterogeneous and severe farmland environment is solved.

Description

technical field [0001] The invention belongs to the technical field of the agricultural internet of things, in particular to an adaptive routing method for the agricultural internet of things based on fuzzy logic. Background technique [0002] The Agricultural Internet of Things is a special type of self-organizing network. The node used to monitor the pH value, temperature, soil humidity, air humidity, etc. of the growth environment is a low-cost, miniature, heterogeneous sensor node. These resource-constrained Nodes are usually placed in the wild, and the replacement of power supply modules is expensive. At the same time, in the complex environment of farmland, the communication node will frequently interrupt the establishment of the path with the target node, and the data packet will not be successfully transmitted after repeated retransmissions, which will reduce the packet delivery rate and indirectly increase the energy consumption of the entire network. The field of ...

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Problems solved by technology

[0006] Aiming at the problems of severe interference between nodes, poor link quality, low packet delivery rate, high-end to end delay, network jitter, frequent changes in network topology, and high energy consumption in the above-mentioned agricultural Internet of Things, the present invention proposes a fuzzy logic-based FLARP (Fuzzy Logic Based Adaptive Routing Protocol) is an adaptive routing method for the Agricultural Internet of Things. This method uses a fuzzy reasoning control system to allow routing to automatically adapt to changes in the farmland network topology; it combines link quality with perceived interference between nodes, and chooses to have The next hop node of the optimal path can effectively improve packet delivery rate, delay and network jitter; introduce node energy factor measurement to prolong the life of farmland network; introduce node heterogeneity to select the node with the best physical performance, effectively improve Field system throughput;

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