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논문 기본 정보

저자정보
(Suwon University) (Suwon University) (Linyi University)
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제어로봇시스템학회 제어로봇시스템학회 논문지 제어로봇시스템학회 논문지 제30권 제9호
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    초록·키워드

    Mobile collectors (MCs) have been utilized to enhance the performance of wireless sensor networks (WSNs) in recent years. However, there are major limitations, particularly in latency-bound applications. The traveling paths taken by MCs have a significant impact on the time required for data collection. To regulate the paths of MCs, we propose a hybrid approach that MCs only visit cluster heads (CHs), and nodes that are not CHs forward data to the nearest CHs through a single-hopping. The energy difference and density of global sensor nodes are introduced to select CHs. To shorten the trajectory of MCs, the K-Dimension Tree Grouping algorithm (KDTG) is proposed to group CHs with the highest geographical similarity. The simulation results verify that the proposed algorithm has a broad range of applicability and robust stability, making it an asset for WSNs of varying scales and application scenarios.

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