In this paper an enhancement technique for Dynamic Source Routing protocol (DSR) using relay routing and flooding alternately is proposed. DSR is a popular on demand reactive routing protocol in Mobile Adhoc Networks (MANET) which uses flooding for route discovery and route maintenance when only a node has data to be transmitted. Flooding causes serious redundancy, contention and collision in the network which increases the overhead of transmission in a dynamic network where the nodes have different mobilities. In order to reduce this routing overhead we have used relay routing technique which selects only a small number of nodes in the neighbourhood of the source node for route discovery and route maintenance. Selection of the nodes is done based on the mobility of the neighbourhood nodes at that instant of time.Simulation results on DSR have shown that this technique can reduce redundant flooding to a great extent thus making DSR more efficient.
Agent Oriented software engineering (AOSE) is a software paradigm that has grasped the attention of researchers/developers for the last few years. As a result, many different methods have been introduced to enable researchers/developers to develop multi agent systems. However Performance, a non-functional attribute have not been given that much importance for producing quality software. Performance issues must be considered throughout software project development. Predicting performance early in the life cycle during feasibility study is not considered for predicting performance. In this paper, we consider the data collected (technical and environmental factors) during feasibility study of Multi-Agent software development to predict performance. We derive an algorithm to predict the performance metrics and simulate the results using a case study on scheduling the use of runways on an airport.
This paper presents the evolution of a robust and scalable software architecture for airbome radar simulation. We make a comprehensive analysis of the problem domain for building the architecture. Both structural and run-time views are provided. Proposition of generic interfaces for inter-operation with external ' systems, environment, and internal radar blocks is a novelty that the system offers, and makes the architecture extensible. Robustness is built into the architecture by considering real-time issues by investigating aspects like critical threads of execution analysis and schedulability analysis. Architectural scalability and resilience are achieved by proper definition of subsystems. We have used UML (Unified Modeling Language) to capture the important artifacts.
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