Wireless charging sensor network anchor selection method
The invention provides a wireless charging sensor network anchor selection method. The method comprises a first step that a mobile collector completes data acquisition of anchors one by one according to a preset anchor sequence, and simultaneously collects remaining battery energy data of adjacent n...
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creator | YANG YUANYUAN YU HONGYAN SHI YAWEI LIU DONGZHUO GUO SONGTAO CHEN MENGGANG |
description | The invention provides a wireless charging sensor network anchor selection method. The method comprises a first step that a mobile collector completes data acquisition of anchors one by one according to a preset anchor sequence, and simultaneously collects remaining battery energy data of adjacent nodes of the anchors; a second step that after the mobile collector visits all anchors for the first time, the nodes are ranked from high to low according to the amount of the remaining battery energy, and a result after ranking is represented by a list S'; a third step that a middle element is found in the list S', and the shortest access path among S'(1), S'(2), and the like is found by use of a nearest neighbor algorithm of a traveling salesman problem; and a fourth step that whether the shortest access path is equal to a threshold value is judged, if yes, the shortest access path is used as an access sequence of next time, if not, the rest half column in the list S' is used as a new list S', then the third step is carried out. Through adoption of the method, data collection fairness can be improved effectively, data delay can be lowered, and sensing nodes not needing charging are prevented from being charged. |
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The method comprises a first step that a mobile collector completes data acquisition of anchors one by one according to a preset anchor sequence, and simultaneously collects remaining battery energy data of adjacent nodes of the anchors; a second step that after the mobile collector visits all anchors for the first time, the nodes are ranked from high to low according to the amount of the remaining battery energy, and a result after ranking is represented by a list S'; a third step that a middle element is found in the list S', and the shortest access path among S'(1), S'(2), and the like is found by use of a nearest neighbor algorithm of a traveling salesman problem; and a fourth step that whether the shortest access path is equal to a threshold value is judged, if yes, the shortest access path is used as an access sequence of next time, if not, the rest half column in the list S' is used as a new list S', then the third step is carried out. 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The method comprises a first step that a mobile collector completes data acquisition of anchors one by one according to a preset anchor sequence, and simultaneously collects remaining battery energy data of adjacent nodes of the anchors; a second step that after the mobile collector visits all anchors for the first time, the nodes are ranked from high to low according to the amount of the remaining battery energy, and a result after ranking is represented by a list S'; a third step that a middle element is found in the list S', and the shortest access path among S'(1), S'(2), and the like is found by use of a nearest neighbor algorithm of a traveling salesman problem; and a fourth step that whether the shortest access path is equal to a threshold value is judged, if yes, the shortest access path is used as an access sequence of next time, if not, the rest half column in the list S' is used as a new list S', then the third step is carried out. 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The method comprises a first step that a mobile collector completes data acquisition of anchors one by one according to a preset anchor sequence, and simultaneously collects remaining battery energy data of adjacent nodes of the anchors; a second step that after the mobile collector visits all anchors for the first time, the nodes are ranked from high to low according to the amount of the remaining battery energy, and a result after ranking is represented by a list S'; a third step that a middle element is found in the list S', and the shortest access path among S'(1), S'(2), and the like is found by use of a nearest neighbor algorithm of a traveling salesman problem; and a fourth step that whether the shortest access path is equal to a threshold value is judged, if yes, the shortest access path is used as an access sequence of next time, if not, the rest half column in the list S' is used as a new list S', then the third step is carried out. Through adoption of the method, data collection fairness can be improved effectively, data delay can be lowered, and sensing nodes not needing charging are prevented from being charged.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR WIRELESS COMMUNICATIONS NETWORKS |
title | Wireless charging sensor network anchor selection method |
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