Emergence in swarming pervasive computing and Chaos Analysis

The growing emphasis on pervasive computing and MEMS requires the deployment the computation on very small devices for swarming system. The cooperation and interaction in such system inspired by biological system seem to be more and more complex and inconceivable because of highly dynamic, distributed and unpredicted features. The common stigmergy in biological decentralized system characterizes the important process that the individual agents indirectly interact with an environment by making changes to it. Through context-aware, these changes can raise the emergence that makes the swarming system more coherent, adaptive and robust. Understanding and exploiting emergence is key to study and engineer global coherent behavior in pervasive computing. This paper describes the process of emergence arisen from stigmergy in swarming, and present the fundamental mathematic method to gain more deeply insight of emergence. An experience was showed to prove that nonlinear dynamics and chaos time series analysis are one of the promising interdisciplinary methods that can provide the insights on producing and controlling emergence in pervasive computing environment