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Activating the Hot Spot Problem by Switching Multiple Sinks in Wireless Sensor Networks

机译:通过在无线传感器网络中切换多个汇来激活热点问题

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In many-to-one wireless sensor networks, there exists an unbalanced power consumption problem; that is, nodes near the data sink or base station, called hot spots, have a high probability of forwarding a high amount of packets and die early. Most of previous work is dedicated to constructing a long-lived aggregation tree, while leaving the hot spot problem unsolved. When the locations of sinks are given and thus fixed, this work attempts to alleviate the hot spot problem by exploiting techniques to balance power consumption for nodes in the tree by switching multiple fixed sinks. The first balancing technique is called manipulating multiple long-lived trees (MMLT), which constructs multiple long-lived data aggregation trees for multiple sinks, and cyclically switches a data aggregation tree to another, after a sink collects information for a predefined period of time. To reduce overhead, we further propose another technique which constructs only a single tree and shares it with all sink nodes. To evaluate the performance of these two balancing techniques, we run simulations with various setup environments and compare them with the balanced tree method.
机译:在多对一的无线传感器网络中,存在不平衡的功耗问题;也就是说,数据宿地或基站附近的节点称为热点,具有高量分组的高概率并且早期死亡。以前的大多数工作都致力于构建长寿的聚合树,同时将热点问题未解决。当给出并因此固定下沉的位置时,该工作试图通过开发技术来缓解热点问题,通过切换多个固定的垫地来平衡树中的节点的功耗。第一种平衡技术被称为操纵多个长寿命的树(MMLT),其构造多个汇聚器的多个长LENVED数据聚合树,并且在接收器收集预定义段的信息之后循环地将数据聚合树切换到另一个。 。为了减少开销,我们进一步提出了另一种技术,该技术仅构造了一个树,并与所有宿节点共享。为了评估这两个平衡技术的性能,我们使用各种设置环境进行模拟,并将它们与平衡树方法进行比较。

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