Advances in Biologically Inspired Information Systems Models, Methods, and Tools /
Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways and at multiple scales, from the global Internet down to micro and nano devices. Many of these devices are highly mobile and must adapt to the surrounding environment in a...
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| 企业作者: | |
|---|---|
| 其他作者: | , |
| 格式: | 电子 电子书 |
| 语言: | English |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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| 版: | 1st ed. 2007. |
| 丛编: | Studies in Computational Intelligence,
69 |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-540-72693-7 |
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书本目录:
- Self-Organizing Network Environments
- Bio-inspired Framework for Autonomic Communication Systems
- Towards a Biologically-inspired Architecture for Self-Regulatory and Evolvable Network Applications
- Biologically Inspired Synchronization for Wireless Networks
- Bio-Inspired Congestion Control: Conceptual Framework, Algorithm and Discussion
- Self-Organized Network Security Facilities based on Bio-inspired Promoters and Inhibitors
- System Design and Programming
- Context Data Dissemination in the Bio-inspired Service Life Cycle
- Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications
- Toward Organization-Oriented Chemical Programming: A Case Study with the Maximal Independent Set Problem
- Evolving Artificial Cell Signaling Networks: Perspectives and Methods
- Sensor and Actor Networks
- Immune System-based Energy Efficient and Reliable Communication in Wireless Sensor Networks
- A Bio-Inspired Architecture for Division of Labour in SANETs
- A Pragmatic Model of Attention and Anticipation for Active Sensor Systems
- Search and Optimization
- Self-Organization for Search in Peer-to-Peer Networks
- A Bio-Inspired Location Search Algorithm for Peer to Peer Networks
- Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems.