多跳无线传感器网络高覆盖连接节点路由协议和低功耗

Wassim Jerbi, Abderrahmen Guermazi, H. Trabelsi
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引用次数: 4

摘要

低能量自适应聚类层次(LEACH)协议是分布式聚类的先驱协议。它基于概率计算来选择簇头。历次LEACH协议都涉及到簇头选择的其他参数,如剩余能量、位置、信号强度等。然而,这些协议大多不能保证所有周期的网络全覆盖。实际上,在某些周期中,簇头可能集中在监控区域的一部分,一些普通节点无法到达簇头。它们被认为是网络中的孤儿节点。经过100轮后,第一批死节点是低密度簇的传感器。本文的主要贡献是提出了一种解决方案,将孤立节点连接到最近的集群,从而使节点具有高连接率。本文的工作导致了一种新的分布式集群协议的设计和开发,称为连接节点的高覆盖(HCCN-multihop),显著提高了无线传感器网络多跳路由协议中节点的连通性。hccn多跳协议是基于两种场景发展而来的。在第一个场景中,具有最小距离(dmin)的集群高密度成员扮演网关的角色,允许低密度节点的传感器连接并收集它们的数据(到集群成员的距离最短的CH)。在第二种场景中,将集群中的单个节点与相邻集群的成员连接起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Coverage of Connected Nodes routing protocol with reduced power consumption for multi-hop Wireless Sensor Network
The Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is known as a pioneering protocol for distributed clustering. It is based on a probabilistic calculation to select cluster head. Successive LEACH protocols have involved other parameters for the selection of cluster head, such as residual energy, location, signal strength ... However, most of these protocols do not guarantee full coverage network for all cycles. Indeed, in some cycles, cluster head may be concentrated in a portion of the monitored area, some common nodes fail to reach a cluster head. They are considered orphans nodes in the network. After 100 rounds, the first dead nodes are the sensors of the clusters of low density. The major contribution of this article is to propose a solution to join the orphan nodes to the closest clusters and consequently to have a high connectivity rate of the nodes. The work in this thesis resulted in the design and development of a new distributed clustering protocol called high coverage of connected nodes (HCCN-multihop), that significantly improves connectivity of nodes in multi-hop routing protocol for wireless sensor networks. The HCCN-multihop protocol is based on the development of two scenarios. In the first scenario, a member of the cluster High density who has a minimal distance (dmin) plays the role of a Gateway allowing the joining of the sensors of low density nodes and collects their data (CH that has the shortest distance to a member of a cluster). In the second scenarios, join a single node in a cluster with a member of the neighboring cluster.
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