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AODV routing method based on fuzzy logic in wireless ad hoc network

A wireless self-organization and fuzzy logic technology, applied in the field of mobile communication, can solve problems such as lack of link delay, stable routing life, large control overhead, etc., to achieve the goal of extending routing life, balancing energy consumption, and improving network service quality Effect

Pending Publication Date: 2021-11-05
SOUTHEAST UNIV
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Problems solved by technology

However, traditional routing protocols, such as the AODV (Ad hoc On-Demand Distance Vector Routing, AODV) protocol, lack comprehensive consideration of multiple factors such as link delay, stability, and routing life, and intermediate nodes use broadcasting to send RREQ, resulting in a large control overhead

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  • AODV routing method based on fuzzy logic in wireless ad hoc network
  • AODV routing method based on fuzzy logic in wireless ad hoc network
  • AODV routing method based on fuzzy logic in wireless ad hoc network

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Embodiment Construction

[0044] The technical solution of the present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

[0045] A kind of AODV routing method based on fuzzy logic in wireless self-organizing network, comprises the steps:

[0046] Such as image 3 As shown, node 1 is the source node, node 25 is the target node, use random numbers to initialize the positions, speeds, and consumption rates of the 25 nodes, and define the maximum distance R that the nodes can transmit to be 200 meters. The process of generating a path will be described in detail below.

[0047] Such as figure 1 As shown, an AODV routing method based on fuzzy logic in a wireless ad hoc network specifically includes the following steps:

[0048] Step 1. Calculate the normalized delay ND (Normalized Delay, ND), normalized stability NS (Normalized Stability, NS) and normalized remaining energy value NRE (Normalized Remaining Energy, NRE) of nodes in the wirel...

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Abstract

The invention discloses an AODV routing method based on fuzzy logic in a wireless ad hoc network. The method comprises the following steps: by a node in the wireless ad hoc network, calculating normalization time delay, normalization stability and a normalization residual energy value; calculating the reliability value of the node based on fuzzy logic, accumulating the REL values of a source node, updating and broadcasting a routing request, and establishing a reverse route; by an intermediate node, selecting the node with the maximum REL value in a RREQ messages forwarded by a last hop node as a relay node, accumulating the REL values, updating the RREQ and establishing a reverse route; by the intermediate node, sending the RREQ message to neighbor nodes except the last hop node; and if the node is not the destination node or a route to the destination node does not exist in the routing table of the node, repeatedly executing the first two steps, otherwise, generating a routing response and unicasting the routing response to the source node. According to the optimal path determined by the method, the link stability, the route service life and the network service quality can be effectively guaranteed.

Description

technical field [0001] The invention belongs to the field of mobile communication, and relates to an AODV routing method based on fuzzy logic in a wireless self-organizing network. Background technique [0002] Wireless ad hoc network (Mobile Ad Hoc Network, MANET) is composed of a group of wireless nodes. It is a multi-hop network system that does not rely on the existing fixed communication network infrastructure and can be quickly deployed. Organized, self-healing networks. MANET can be applied to environments such as vehicles and drones, forming vehicle-mounted mobile communication networks (Vehicular Ad Hoc Networks, VANET) and drone mobile communication networks (Flying Ad Hoc Networks, FANET). Since the application environment has the characteristics of real-time changes, it is very important to study a routing protocol that can effectively guarantee the high reliability and low delay performance of the network under the premise of node movement and dynamic topology ...

Claims

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Application Information

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IPC IPC(8): H04W40/10H04W40/12H04W40/14H04W84/18
CPCH04W40/10H04W40/12H04W40/14H04W84/18Y02D30/70
Inventor 孙畅李佳珉
Owner SOUTHEAST UNIV
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