Monopati: A Multi-Objective Network Optimization and Analysis Tool Applied to Hierarchical Network Structures

Abstract

1)This paper describes a prototype configuration management tool applied to the design, planning, evaluation, and maintenance of network hierarchical structures. Specifically designedfor future ad hoc military networks, the versatile tool supports a) rapid deployment oflarge numbers ofnodes with heterogeneous links, and b) rapid adaptation to changing environment or mission needs. The tool, called Multi-Objective Network Optimization and Analysis Tool (MONOPATI), has three main components. the network environment simulator component, the network optimization component and the statistics collection and visualization component. The network environment simulator can generate diverse topologies and apply several random, group and custom mobility models. The statistics component collects and visualizes real-time network and performance metrics. The network optimization component uses an enhanced version of Simulated Annealing (SA) for rapid network optimization and assessment based on the objectives and constraints. A unique feature ofMONOPA TI is the flexible mathematical representation of goals in objective functions and constraints; thus quantifying hierarchy goodness. This paper highlights the application and effectiveness of MONOPATI in forming and evaluating structures that satisfy diverse hierarchy formation objectives in dynamic ad hoc network environments.

Towards Service-Oriented Cognitive Networks over IP Multimedia Subsystems

“…Besides, there is a parameter called "Crowding distance" in NSGA-II. It is a measurement of how close an individual is to its neighbor solutions, it is expand the search in getting each front [13,14]. After calculating by objective function, the population is sorted based on non-domination into each front.…”

“…The service threshold is shown in Table III. When user uses a service downlink (DL) or uplink (UP), the proportional penalty is generated from the value of the criterion q in (13). The penalty is linear decreasing depend on the criterion q.…”

Routing through an integrated communication and social network

“…The Multi-Objective Network Optimization and Assessment Tool (MONOPATI) [7] designs and analyzes diverse multi-dimensional communication networks. MONOPATI has been used in a wide variety of network optimizations, including: create routing clusters [10], intrusion detection hierarchies [8] and network topologies [9].…”

“…In dynamic environments, less optimal configurations are acceptable, since conditions change due to various dynamics (mobility, failures). This can be achieved by faster Cooling Schedule, Termination Condition, and having better initial configurations [7].…”

Validation of Performance Analysis for Optimized Vehicular Ad Hoc Network Using Taguchi Method

“…Network optimization is one way to maintain the existing protocols and other network parameter rather than costly efforts for design and implementing new improved protocols [5]. In terms of dynamic changes of topology in VANET and requirement of to keep communicating between vehicles, deploying massive number of RSUs could be very costly.…”