Maximum Production of Transmission Messages Rate for Service Discovery Protocols

by   Intisar Al-Mejibli, et al.

Minimizing the number of dropped User Datagram Protocol (UDP) messages in a network is regarded as a challenge by researchers. This issue represents serious problems for many protocols particularly those that depend on sending messages as part of their strategy, such us service discovery protocols. This paper proposes and evaluates an algorithm to predict the minimum period of time required between two or more consecutive messages and suggests the minimum queue sizes for the routers, to manage the traffic and minimise the number of dropped messages that has been caused by either congestion or queue overflow or both together. The algorithm has been applied to the Universal Plug and Play (UPnP) protocol using ns2 simulator. It was tested when the routers were connected in two configurations; as a centralized and de centralized. The message length and bandwidth of the links among the routers were taken in the consideration. The result shows Better improvement in number of dropped messages `among the routers.



There are no comments yet.



Networks Utilization Improvements for Service Discovery Performance

Service discovery requests' messages have a vital role in sharing and lo...

Modeling and Testing Implementations of Protocols with Complex Messages

This paper presents a new language called APSL for formally describing p...

Decentralized Pliable Index Coding

This paper introduces the decentralized Pliable Index CODing (PICOD) pr...

Generalized HARQ Protocols with Delayed Channel State Information and Average Latency Constraints

In many wireless systems, the signal-to-interference-and-noise ratio tha...

Simulation of Dissemination Strategies on Temporal Networks

In distributed environments, such as distributed ledgers technologies an...

Message Type Identification of Binary Network Protocols using Continuous Segment Similarity

Protocol reverse engineering based on traffic traces infers the behavior...

Empirical Models for the Realistic Generation of Cooperative Awareness Messages in Vehicular Networks

Most V2X (Vehicle-to-Everything) applications rely on broadcasting aware...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.