Self-Optimization in Sensor Networks

Krishnamachari, Bhaskar; Zhou, Congzhou; Shademan, Baharak

doi:10.1007/0-387-23466-7_3

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…The actions that govern system operations are based on optimization of forecasted system behaviors, described using a mathematic model for the specified QoS criteria over a limited look-ahead prediction horizon. Krishnamachari gave a very good overview in [33] on selfoptimization in communication with the environment (e.g. sensor networks).…”

Section: Non-architectural Approachesmentioning

confidence: 99%

Towards Self-optimizing Protocol Stack for Autonomic Communication: Initial Experience

Tschofenig

et al. 2006

Lecture Notes in Computer Science

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The Internet is facing ever-increasing complexity in the construction, configuration and management of heterogeneous networks. New communication paradigms are undermining its original design principles. The mobile Internet demands a level of optimum that is hard to achieve with a strictly-layered protocol stack. Questioning if layering is still an adequate foundation for autonomic protocol stack design, we study the state-of-the-art from both the layered camp and its counterpart. We then outline our vision on protocol stack design for autonomic communication with the POEM model and its internals. A novel cross-layer design approach that combines the advantages of layering and the benefits of holistic and systematic cross-layer optimization is at the core of this work. With inspirations from the natural ecosystem, we are working on the role-based Composable Functional System for selfoptimization that features proactive monitoring and control. By doing so step-by-step, we envisage reaching the goal of self-tuning autonomic network with high level of autonomy and efficiency, with minimum human management complexity and user intervention.

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Section: Non-architectural Approachesmentioning

confidence: 99%

Towards Self-optimizing Protocol Stack for Autonomic Communication: Initial Experience

Tschofenig

et al. 2006

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

Self-Optimization in Sensor Networks

Cited by 1 publication

References 15 publications

Towards Self-optimizing Protocol Stack for Autonomic Communication: Initial Experience

Towards Self-optimizing Protocol Stack for Autonomic Communication: Initial Experience

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