HPEQ A Hierarchical Periodic, Event-driven and Query-based Wireless Sensor Network Protocol

A. Boukerche, R. Pazzi, R. B. Araujo
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引用次数: 70

Abstract

Applications that require fine-grain monitoring of physical environments subjected to critical conditions, such as fire, leaking of toxic gases and explosions, pose a great challenge to sensor network protocols. These networks have to provide a fast, reliable, fault tolerant and energy aware channel for events diffusion, which meets the requirements of query-based, event-driven and periodic sensor networks application scenarios. These requirements have to be met even in the presence of emergency conditions that can lead to node failures and path disruption to the sink. This paper presents HPEQ (hierarchical periodic, event-driven and query-based), a cluster-based routing protocol that groups sensor nodes to efficiently relay the sensed data to the sink. In HPEQ protocol nodes with more residual energy are selected as aggregator nodes that relay data to the sink by uniformly distributing energy dissipation among the nodes, and reducing latency and network data traffic. HPEQ is based on a previous protocol, PEQ, that meets sensor networks requirements for critical conditions surveillance applications. HPEQ uses the publish/subscribe paradigm to disseminate requests across the network. The algorithm was implemented using NS-2 simulator and compared to PEQ and to the directed diffusion paradigm. Important metrics were evaluated showing that the proposed algorithm can be a potential solution to meet constraints and requirements of events delivery in critical conditions monitoring applications
HPEQ是一种分层周期、事件驱动和基于查询的无线传感器网络协议
需要对火灾、有毒气体泄漏和爆炸等关键条件下的物理环境进行细粒度监测的应用,对传感器网络协议构成了巨大的挑战。这些网络必须为事件扩散提供一个快速、可靠、容错和能量感知的通道,以满足基于查询、事件驱动和周期的传感器网络应用场景的要求。即使在可能导致节点故障和接收器路径中断的紧急情况下,也必须满足这些要求。HPEQ(分层周期、事件驱动和基于查询)是一种基于集群的路由协议,它将传感器节点分组,以有效地将感知数据中继到接收器。在HPEQ协议中,选择剩余能量较多的节点作为汇聚节点,通过均匀分布节点间的能量耗散,将数据转发到汇聚节点,减少时延和网络数据流量。HPEQ基于先前的协议PEQ,满足关键条件监视应用的传感器网络要求。HPEQ使用发布/订阅范例在网络中传播请求。该算法使用NS-2模拟器实现,并与PEQ和定向扩散范例进行了比较。对重要指标进行了评估,表明所提出的算法可以成为满足关键条件监控应用程序中事件交付约束和要求的潜在解决方案
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