Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks by Yunfei Xu Jongeun Choi Sarat Dass & Tapabrata Maiti

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks by Yunfei Xu Jongeun Choi Sarat Dass & Tapabrata Maiti

Author:Yunfei Xu, Jongeun Choi, Sarat Dass & Tapabrata Maiti
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham


Figure 4.10 shows the prediction error variances obtained by agent 1 along with the edges of the communication network for different communication range R and different time step t. In Fig. 4.10, the target positions, the initial positions, and the current positions are represented by white stars, yellow crosses, and white circles, respectively. Surprisingly, the agents under the distributed navigation algorithm produce an emergent, swarm-like behavior to maintain communication connectivity among local neighbors. Notice that this collective behavior emerged naturally and was not generated by the flocking or swarming algorithm as in [42].



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