An adaptive approach to space-based picosatellite sensor networks

Tughrul Arslan*, Erfu Yang, Nakul Haridas, Alicia Morales, Ahmed O. El-Rayis, Ahmet T. Erdogan, Adrian Stoica

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The rapid advancements in ad hoc sensor networks, MEMS (micro-electro- mechanical systems) devices, low-power electronics, adaptive hardware and systems (AHS), reconfigurable architectures, high-performance computing platforms, distributed operating systems, micro-spacecrafts, and micro-sensors have enabled the design and development of a highperformance satellite sensor network (SSN). Due to the changing environment and the varying missions that a SSN may have, there is an increasing need to develop efficient strategies to design, operate, and manage the system at different levels from an individual satellite node to the whole network. Towards this end, this paper presents an adaptive approach to space-based picosatellite sensor network by exploiting efficient bio-inspired optimization algorithms, particularly for solving multi-objective optimization problems at both local (node) and global (network) system levels. The proposed approach can be hierarchically used for dealing with the challenging optimization problems arising from the energy-constrained satellite sensor networks. Simulation results are provided to demonstrate the effectiveness of the proposed approach through its application in solving both node-level and system-level optimization problems.

Original languageEnglish
Title of host publicationEvolutionary and Bio-Inspired Computation
Subtitle of host publicationTheory and Applications III
Publication statusPublished - 2009
EventEvolutionary and Bio-Inspired Computation: Theory and Applications III - Orlando, FL, United States
Duration: 14 Apr 200915 Apr 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceEvolutionary and Bio-Inspired Computation: Theory and Applications III
Country/TerritoryUnited States
CityOrlando, FL


  • Adaptive systems
  • Bio-inspired algorithm
  • Multi-objective optimization
  • Satellite
  • Wireless sensor network


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