Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).

View the beta site
NIST logo

Publication Citation: Towards Evolutionary-Pricing Framework for Mobile Sensor Network Self-organization

NIST Authors in Bold

Author(s): Vladimir V. Marbukh; Kamran Sayrafian; Hamid Mahboubi; Ahmadreza Momeni; Amir G. Aghdam;
Title: Towards Evolutionary-Pricing Framework for Mobile Sensor Network Self-organization
Published: July 18, 2010
Abstract: This paper reports on work in progress on developing a unified co-evolutionary/pricing framework for Mobile Sensor Networks (MSN) self-organization. MSN self-organization involves cooperative sensor positioning and formation of a multi-hop Mobile Ad-hoc NETwork (MANET) enabling sensor information acquisition and communication while prolonging MSN life-span. A number of inherent MSN traits such as lack of centralized control and variety of performance criteria suggest framing MSN self-organization as a sensor co-evolutionary optimization. The first issue to be addressed is aligning individual sensor utility/fitness landscapes with the overall MSN goals as selfish sensor behavior may result in suboptimal overall MSN performance. The paper proposes using socially optimal pricing to internalize the effect of each sensor relocation on the overall MSN performance. It is assumed that intermediate nodes in the MSN relay sensor information to a single fusion point without processing. The proposed framework is illustrated for the special case of a MSN tracking a single target.
Proceedings: 2010 IEEE World Congress on Computational Intelligence
Location: Barcelona, -1
Dates: July 18-23, 2010
Keywords: mobile sensor network, socially optimal sensor fitness, pricing.
Research Areas: Information Technology
PDF version: PDF Document Click here to retrieve PDF version of paper (795KB)