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首页> 外文会议>International Conference on Contemporary Computing >Earned Value Analysis for real time wireless sensor network
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Earned Value Analysis for real time wireless sensor network

机译：实时无线传感器网络的收益值分析

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As Wireless Sensor Network (WSN) is spread across wide geographically area, global end-to-end estimates of control parameters can't predict timely reporting of data. However, as packet progresses over multihop WSN, routing decisions may have to be adapted according to changed environment parameters/conditions. Many algorithms lack dynamic adaptability to changed environment conditions. Real Time WSN need to trade off latency, path traversed in number of hops and energy cost as per dynamically changing conditions. Earned Value Management (EVM) is project management technique to trade-off schedule, cost and quality constraint. As part of this work, it is hereby suggested to adapt routing decision at each hop based on Earned Value Management of latency, energy cost and path traversed in number of hops at that time. At initial step, End-to-end estimated values for latency, energy cost and path traversed in number of hops are allocated for each flow. Estimate to complete (ETC) values for all parameters are calculated at each hop and used to decide how much is estimated remaining value of all parameters to reach at the destination. Based on ETC values, routing decisions can be adapted. At the end of delivery, variance with planned value is calculated. This value can be used to refine end-to-end estimates. The whole process can be divided into following steps: Estimate End-to-end values for latency, energy cost, number of hops, Estimate to complete (ETC) - Calculate Estimated Values for latency, energy cost, number of hops to reach at destination., Adapt or refine the control parameters such as speed or transmission power as per ETC values for latency, energy cost, number of hops. If destination can't be reached by adapting control parameters, packets are dropped., Calculate Variance with respect to planned values and refine end-to-end estimates Using Earned Value technique helps in tracking the actual progress made till current time. It helps in taking corrective actio- early; hence it is more cost effective. It also helps in effective usage of limited resources of WSN by dropping packets which can't reach destination within desired latency.
机译：由于无线传感器网络（WSN）分布在广泛的地理区域，因此控制参数的全球端到端估计无法预测数据的及时报告。然而，随着分组在多跳WSN上进行，可能必须根据更改的环境参数/条件来调整路由决策。许多算法缺乏对变化的环境条件的动态适应性。实时WSN需要权衡等待时间，根据动态变化的条件遍历路径的跳数和能源成本。挣值管理（EVM）是权衡进度，成本和质量约束的项目管理技术。作为这项工作的一部分，在此建议根据时延，能源成本和当时在跳数上遍历的路径的挣值管理对每个跳进行路由决策。在初始步骤，为每个流分配等待时间，能源成本和在跳数中遍历的路径的端到端估计值。在每个跃点上计算所有参数的完成估计（ETC）值，并用于确定要到达目的地的所有参数的估计剩余值有多少。基于ETC值，可以调整路由决策。在交付结束时，将计算与计划值的差异。此值可用于完善端到端估计。整个过程可以分为以下步骤：估计延迟，能源成本，跳数的端到端值，完成估计（ETC）-计算延迟，能源成本，到达目的地的跳数的估计值根据延迟，能源成本，跳数等ETC值，调整或完善控制参数，例如速度或传输功率。如果通过调整控制参数无法到达目的地，则会丢弃数据包。根据计划值计算方差并细化端到端估计使用挣值技术有助于跟踪到当前时间为止的实际进度。它有助于采取纠正措施;因此，它更具成本效益。它还通过丢弃无法在所需延迟内到达目的地的数据包，帮助有效利用WSN有限的资源。

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