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A Population Based Approach to Model Network Lifetime in Wireless Sensor Networks

机译:无线传感器网络中基于种群的网络寿命建模方法

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摘要

The physical constraints of battery-powered sensors impose limitations on their processing capacity and longetivity. As battery power in the nodes decays, certain parts of the network may become disconnected or the coverage may shrink, thereby reducing the reliability and the potency of the sensor network. Since sensor networks operate unattended and without maintainence, it is imperative that network failures are detected early enough so that corrective measures can be taken. Existing research has primarily concentrated on developing algorithms, be it distributed or centralized, to optimize network longetivity metrics. For instance, propose MAC layer optimizations to prolong longetivity, while look at the problem from a Layer 3 perspective. Works along the lines of actually building network models for energy consumption are addressed in [2], [3], but these models fail to capture the interplay between a node's spatial location and it's energy consumption.
机译:电池供电传感器的物理约束条件限制了它们的处理能力和寿命。随着节点中电池电量的下降,网络的某些部分可能会断开连接或覆盖范围可能会缩小,从而降低了传感器网络的可靠性和效能。由于传感器网络无人值守且无需维护,因此必须尽早检测到网络故障,以便采取纠正措施。现有研究主要集中在开发算法(分布式或集中式)以优化网络寿命指标。例如,提出MAC层优化以延长寿命,同时从第3层的角度看问题。在[2],[3]中讨论了沿着实际构建网络能耗模型的工作,但是这些模型无法捕获节点的空间位置与其能耗之间的相互作用。

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