Biologically inspired methods for organizing distributed services on sensor networks / Tales Heimfarth. 2007
Inhalt
- List of Figures
- List of Tables
- Introduction
- System Software for Wireless Sensor Networks
- NanoOS Architecture
- Motivation
- System Overview
- Requirements
- NanoOS Approach
- Hardware Platform
- Software Components
- Application
- NanoOS Structure
- Dynamic Mobile Services
- Service Management
- Distribution Methods
- OS Network Organization
- Organizing the Network in Clusters
- Communication Link Model
- Discussion
- Service Distribution
- Self-Organizing Cluster Construction
- Introduction
- State of the Art - Clustering in Ad hoc Networks
- Maximum Independent Set Approaches
- Dominance Only Approaches
- Multihop Clustering
- Other Approaches
- Discussion
- Problem Definition
- Division of Labor and Task Allocation in Social Insects
- Heuristics Basic Concepts
- Clustering ``Quasi-Static'' Ad hoc Networks
- Clustering Dynamic Ad hoc Networks
- General View
- Clusterhead Management
- Member Selection
- Cluster Construction Process
- Clustering Maintenance
- Integrating Reference Point Group Mobility Model
- Relation to Self-Organization Principles
- Simulation and Results
- Simulation Environment
- Reference Methods for the Minimum Intracommunication-cost Clustering
- Modeling as a Integer Linear Program
- Genetic Algorithm
- Basic Concepts
- Representation of the Problem (Coding)
- Crossover Operator
- Mutation Operator
- Fitness Function
- Selection Operator
- GA Behavior
- ``Quasi-Static'' Clustering Heuristic Simulation
- Service Distribution Simulation
- Discussion
- Conclusion