Clustering Depth Based Routing for Underwater Wireless Sensor Networks

Tanveer Khan, Israr Ahmad, Waqas Aman, Irfan Azam, Z. Khan, U. Qasim, Sanam Avais, N. Javaid
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引用次数: 29

Abstract

Large propagation delay, high error rate, low band-width and limited energy in Underwater Sensor Networks (UWSNs) attract the attention of most researchers. In UWSNs, efficient utilization of energy is one of the major issue, as the replacement of energy sources in such environment is very expensive. In this paper, we have proposed a Cluster Depth Based Routing (cDBR) that is based on existing Depth Based Routing (DBR) protocol. In DBR, routing is based on the depth of the sensor nodes: the nodes having less depth are used as a forward nodes and consumes more energy as compared to the rest of nodes. As a result, nodes nearer to sink dies first because of more load. In cDBR, cluster based approach is used. In order to minimize the energy consumption, load among all the nodes are distributed equally. The energy consumption of each node is equally utilized as each node has equal probability to be selected as a Cluster Head (CH). This improves the stability period of network from DBR. In cDBR Cluster Heads (CHs) are used for forwarding packets that maximizes throughput of the network. We have compared our results with DBR and Energy Efficient DBR (EEDBR). The simulation result validates that cDBR achieves better stability period and high throughput comparatively to DBR and EEDBR.
基于聚类深度的水下无线传感器网络路由
水下传感器网络(UWSNs)的传播时延大、误差率高、带宽低、能量有限等特点引起了研究人员的广泛关注。在UWSNs中,能源的高效利用是主要问题之一,因为在这种环境下能源的替代是非常昂贵的。在本文中,我们提出了一种基于深度路由(DBR)协议的基于集群深度路由(cDBR)。在DBR中,路由基于传感器节点的深度:深度较低的节点用作转发节点,与其他节点相比消耗更多的能量。结果,由于负载更大,靠近sink的节点首先死亡。在cDBR中,采用了基于集群的方法。为了使能耗最小,负载在所有节点之间均匀分布。由于每个节点被选为簇头(CH)的概率相等,因此每个节点的能耗被平等利用。这提高了网络从DBR的稳定周期。在cDBR中,簇头(CHs)用于转发数据包,以最大限度地提高网络吞吐量。我们将我们的结果与DBR和节能DBR (EEDBR)进行了比较。仿真结果验证了cDBR相对于DBR和EEDBR具有更好的稳定周期和更高的吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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