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Self-organization of sensors for swarm intelligenceRobotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on (1992), pp. 819-829 vol.1.
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Notes for this article這是我正式讀Swarm的第一篇paper。 作者Beni是Swarm這領域的知名人物。 這篇paper建立在於他之前的幾篇paper上, (如:Cellular Robotic Systems, The maximum entropy principle) 所以有很多部分我看了兩遍仍是不太懂。 特色是提出circulating swarm, 在ring環境中的swarm(包含signpost unit與detect unit), 會隨著環境參數的改變,自動調整swarm自身的組態,直到一個穩態(即Self-organization) 每個detect unit都是一個sensor,會感測環境的溫度改變。 signpost則讀取經過它的detect unit的值,並計算平均值,再寫回detect unit。(即detect unit之間的communication是透過signpost,類似蟻群演算法,螞蟻的互動是透過環境的信息氣味communication) 所以在signpost附近的detect unit可視為一個subgroup。 signpost之間則無communication,他們在ring的移動速度也遠小於detect unit。 為減少signpost counting unit的時間複雜度,假設detect unit之間是無overtake的。
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AbstractThe realization of sensing swarms composed of value-specific sensing elements requires distributed cooperation among the members of the swarm. The number of value-specific sensing elements must change under changing external conditions. The recalculations of the optimal distribution of sensing elements can be carried out from the knowledge of the (changed) average value of the sensed feature. Mathematically this can be done by using the maximum-entropy principle. However, distribution operation requires solving two additional problems: the new average value must be known to each sensing element, and a new configuration must be achieved autonomously (i.e. under distributed control). For the solution to these problems the authors introduce a circulating swarm model in which the elements of the swarm circulate in a ring while performing the sensing operations and the self-organization. They show which elementary operations can be used in an algorithm for self-organization of the swarm in a new configuration optimized for sensing
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