Acquaint based grid clustering algorithm for Underwater wireless sensor network

V. Sundarameena, D. Priyatharisini
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引用次数: 6

Abstract

Underwater wireless sensor network (UWSN) is an important emerging research area in wide range of application, unlike the terrestrial network it uses the acoustic signal which has a unique characteristics like limited bandwidth, high and variable propagation delay, transmit energy, minimum network lifetime and so on. This paper proposes an efficient clustering algorithm having 3D-GRID network architecture and it uses limited control information for data gathering to improve the energy efficiency of the network. The GRID clustering method supports 3D deployment based on geographical location of the sensors which has cluster heads (CH) and non cluster heads (NCH). All the cluster heads are present in the center of the network and all the non-cluster head nodes are in minimum distance to the cluster head. This network structure helps to avoid the control packets for intra communication. For inter communication the CH data packet contains the control packet for route establishment and data transmission. Thus this technique reduce the usage of energy while communication and improve the lifetime of the network.
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基于熟悉的水下无线传感器网络网格聚类算法
水下无线传感器网络(UWSN)是一个重要的新兴研究领域,具有广泛的应用前景。与地面网络不同,水下无线传感器网络利用声信号,具有带宽有限、传播延迟高且可变、传输能量大、网络寿命短等特点。本文提出了一种具有3D-GRID网络结构的高效聚类算法,该算法利用有限的控制信息进行数据采集,以提高网络的能源效率。网格聚类方法支持基于地理位置的传感器三维部署,包括簇头和非簇头。所有簇头节点都位于网络中心,所有非簇头节点与簇头节点的距离最小。这种网络结构有助于避免内部通信的控制数据包。对于内部通信,CH数据包包含路由建立和数据传输的控制数据包。因此,该技术减少了通信时的能源使用,提高了网络的寿命。
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