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Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks

机译:软件定义无线传感器网络的新型架构和启发式算法

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This article extends the promising software-defined networking technology to wireless sensor networks to achieve two goals: 1) reducing the information exchange between the control and data planes, and 2) counterbalancing between the sender’s waiting-time and the duplicate packets. To this end and beyond the state-of-the-art, this work proposes an SDN-based architecture, namely MINI-SDN, that separates the control and data planes. Moreover, based on MINI-SDN, we propose MINI-FLOW, a communication protocol that orchestrates the computation of flows and data routing between the two planes. MINI-FLOW supports uplink, downlink and intra-link flows. Uplink flows are computed based on a heuristic function that combines four values, the hops to the sink, the Received Signal Strength (RSS), the direction towards the sink, and the remaining energy. As for the downlink flows, two heuristic algorithms are proposed, Optimized Reverse Downlink (ORD) and Location-based Downlink(LD). ORD employs the reverse direction of the uplink while LD instantiates the flows based on a heuristic function that combines three values, the distance to the end node, the remaining energy and RSS value. Intra-link flows employ a combination of uplink/downlink flows. The experimental results show that the proposed architectureand communication protocol perform and scale well with both network size and density, considering the joint problem of routing and load balancing.
机译:本文将希望的软件定义的网络技术扩展到无线传感器网络,以实现两个目标:1)减少控制和数据平面之间的信息交换,以及发送者的等候时间和重复数据包之间的逆行。在此目的和超出最先进的情况下,这项工作提出了一种基于SDN的架构,即Mini-SDN,其分开控制和数据平面。此外,基于Mini-SDN,我们提出了迷你流,这是一种通过在两个平面之间编制流量和数据路由的计算的通信协议。迷你流支持上行链路,下行链路和链路内流量。基于启发式功能来计算上行链路流,该启发式功能将四个值组合,跳跃到接收器,接收的信号强度(RSS),朝向水槽的方向,以及剩余的能量。至于下行链路流,提出了两个启发式算法,优化了反向下行链路(ORD)和基于位置的下行链路(LD)。 ORD采用上行链路的反向,而LD基于组合三个值的启发式功能,则LD将流量置于与结束节点的距离,剩余能量和RSS值相结合。帧内链路流采用上行链路/下行链路流的组合。实验结果表明,考虑到路由和负载平衡的联合问题,所提出的建筑师通信协议通过网络尺寸和密度进行良好。

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