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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Attribute-Aware Data Aggregation Using Potential-Based Dynamic Routing in Wireless Sensor Networks
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Attribute-Aware Data Aggregation Using Potential-Based Dynamic Routing in Wireless Sensor Networks

机译：无线传感器网络中基于势能的动态路由的属性感知数据聚合

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摘要

The resources especially energy in wireless sensor networks (WSNs) are quite limited. Since sensor nodes are usually much dense, data sampled by sensor nodes have much redundancy, data aggregation becomes an effective method to eliminate redundancy, minimize the number of transmission, and then to save energy. Many applications can be deployed in WSNs and various sensors are embedded in nodes, the packets generated by heterogenous sensors or different applications have different attributes. The packets from different applications cannot be aggregated. Otherwise, most data aggregation schemes employ static routing protocols, which cannot dynamically or intentionally forward packets according to network state or packet types. The spatial isolation caused by static routing protocol is unfavorable to data aggregation. To make data aggregation more efficient, in this paper, we introduce the concept of packet attribute, defined as the identifier of the data sampled by different kinds of sensors or applications, and then propose an attribute-aware data aggregation (ADA) scheme consisting of a packet-driven timing algorithm and a special dynamic routing protocol. Inspired by the concept of potential in physics and pheromone in ant colony, a potential-based dynamic routing is elaborated to support an ADA strategy. The performance evaluation results in series of scenarios verify that the ADA scheme can make the packets with the same attribute spatially convergent as much as possible and therefore improve the efficiency of data aggregation. Furthermore, the ADA scheme also offers other properties, such as scalable with respect to network size and adaptable for tracking mobile events.
机译：无线传感器网络（WSN）中的资源特别是能量非常有限。由于传感器节点通常非常密集，因此传感器节点采样的数据具有很大的冗余性，因此数据聚合成为消除冗余，最小化传输次数并节省能源的有效方法。可以在WSN中部署许多应用程序，并且将各种传感器嵌入节点中，由异类传感器或不同应用程序生成的数据包具有不同的属性。来自不同应用程序的数据包无法聚合。否则，大多数数据聚合方案都采用静态路由协议，该协议无法根据网络状态或数据包类型动态或有意转发数据包。静态路由协议造成的空间隔离不利于数据聚合。为了使数据聚合更加有效，本文引入了数据包属性的概念，将其定义为由不同类型的传感器或应用程序采样的数据的标识符，然后提出一种包括以下内容的属性感知数据聚合（ADA）方案：分组驱动的时序算法和特殊的动态路由协议。受物理潜能和蚁群信息素概念的启发，精心设计了基于电位的动态路由以支持ADA策略。在一系列场景中的性能评估结果验证了ADA方案可以使具有相同属性的数据包尽可能在空间上收敛，从而提高数据聚合的效率。此外，ADA方案还提供其他属性，例如相对于网络大小的可伸缩性和适用于跟踪移动事件的属性。

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