4-MASCLE - Improved Coverage Aware Clustering with Self Healing Abilities
4-MASCLE - Improved Coverage Aware Clustering with Self Healing Abilities
复制标题
4-MASCLE - 改进的具有自我修复能力的覆盖感知集群
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
D. Timmermann
中科院分区：
文献类型：
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作者：
J. Salzmann;R. Behnke;Martin Gag;D. Timmermann
在大型无线传感器网络中，随机部署的节点必须尽可能高效地组织自己，以避免冗余的传感器和收发器操作。除了能量感知之外，网络还必须尽可能长时间地保证完整的功能。本文提出了一种改进的聚类算法2-MASCLE。提出的4 MASCLE算法结合了时间和空间的网络碎片的优势，通过在一个四阶段的细胞系统中引入一个网络划分。利用相邻单元的辅助能力，将自愈特性应用于网络。我们比较我们的算法的基本算法，实现了显着提高网络的生命周期。
In large wireless sensor networks, randomly deployed nodes have to organize themselves as energy efficient as possible to avoid redundant sensor and transceiver operations. In addition to its energy awareness, the network has to guarantee complete functionality as long as possible. This paper presents an enhanced version of the clustering algorithm 2-MASCLE. The proposed 4 MASCLE algorithm combines advantages of temporal and spatial network fragmentation by introducing a network division in a four phase based cell system. The assisting ability of adjacent cells is exploited to apply self healing features to the network. We compare our developed algorithm to the basic algorithms and achieve a significant improve of network lifetime.