Fast decision algorithms in low-power embedded processors for quality-of-service based connectivity of mobile sensors in heterogeneous wireless sensor networks.
Fast decision algorithms in low-power embedded processors for quality-of-service based connectivity of mobile sensors in heterogeneous wireless sensor networks.
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DOI：
10.3390/s120201612
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Sánchez-Pérez JM
中科院分区：
文献类型：
--
作者：
Jaraíz-Simón MD;Gómez-Pulido JA;Vega-Rodríguez MA;Sánchez-Pérez JM
当移动无线传感器沿着异构无线传感器网络移动时，它可能多次处于多个网络的覆盖范围内。在这些情况下，可能会发生垂直切换过程，其中移动传感器决定根据其服务质量特征将其连接从网络更改为可用网络中的最佳网络。适应度函数用于切换决策，希望将其最小化。这是一个优化问题，包括调整一组服务质量的权重。有效解决这个问题与许多高级应用中的异构无线传感器网络相关。在涉及垂直切换决策的文献中可以找到许多作品，尽管它们都存在相同的缺陷：无法比较的效率。因此，这项工作的目的有两个：首先，开发一种快速决策算法，探索可能的权重组合的整个空间，搜索使适应度函数最小化的算法；其次，设计并实现基于可重构硬件和嵌入式处理器的片上系统架构，以实现具有竞争力的移动终端所需的几个目标：良好的性能、低功耗、低经济成本和小面积集成。
When a mobile wireless sensor is moving along heterogeneous wireless sensor networks, it can be under the coverage of more than one network many times. In these situations, the Vertical Handoff process can happen, where the mobile sensor decides to change its connection from a network to the best network among the available ones according to their quality of service characteristics. A fitness function is used for the handoff decision, being desirable to minimize it. This is an optimization problem which consists of the adjustment of a set of weights for the quality of service. Solving this problem efficiently is relevant to heterogeneous wireless sensor networks in many advanced applications. Numerous works can be found in the literature dealing with the vertical handoff decision, although they all suffer from the same shortfall: a non-comparable efficiency. Therefore, the aim of this work is twofold: first, to develop a fast decision algorithm that explores the entire space of possible combinations of weights, searching that one that minimizes the fitness function; and second, to design and implement a system on chip architecture based on reconfigurable hardware and embedded processors to achieve several goals necessary for competitive mobile terminals: good performance, low power consumption, low economic cost, and small area integration.
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