Conference proceeding
Self-Adaptive Dissemination of Data in Dynamic Sensor Networks
SASO 2008: SECOND IEEE INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS, PROCEEDINGS, pp 380-389
01 Jan 2008
Abstract
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper we propose a framework for adaptive flooding protocols suitable for disseminating data in large-scale dynamic networks without a central controlling entity. The framework consists of cooperating mobile agents and a reinforcement learning component with function approximation and state generalization. A component for agent coordination is provided, as well as rules for agent replication, mutation, and annihilation. We examine the adaptability of this framework to a data dissemination problem in a simulation experiment.(1)
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Details
- Title
- Self-Adaptive Dissemination of Data in Dynamic Sensor Networks
- Creators
- David Dorsey - Drexel UniversityBjorn Jay Carandang - Drexel UniversityMoshe Kam - Drexel UniversityChris Gaughan - Biolog (United States)
- Contributors
- S Brueckner (Editor)P Robertson (Editor)U Bellur (Editor)
- Publication Details
- SASO 2008: SECOND IEEE INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS, PROCEEDINGS, pp 380-389
- Publisher
- IEEE
- Number of pages
- 3
- Grant note
- US Army Competitive ILIR (In House Laboratory Independent Research) Assistant Secretary of the Army for Acquisition Technology (ASA(ALT)) Logistics
- Resource Type
- Conference proceeding
- Language
- English
- Web of Science ID
- WOS:000262480300038
- Scopus ID
- 2-s2.0-57949108983
- Other Identifier
- 991019346716504721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic