首页> 外文会议>International Conference on Soft Computing for Problem Solving >Energy-Efficient Data Aggregation Using Cluster-Based Comb-Needle Model in Wireless Sensor Networks
【24h】

Energy-Efficient Data Aggregation Using Cluster-Based Comb-Needle Model in Wireless Sensor Networks

机译:在无线传感器网络中使用基于集群的梳针模型的节能数据聚合

获取原文
获取外文期刊封面目录资料

摘要

Nowadays, sensors are being used in a wide spectrum of applications including mission-critical military as well as civil domains. Data dissemination and data aggregation are important aspects of wireless sensor networks. In this paper, the motivation for use of clustering in comb-needle model (CNM) in WSN is presented. Then, the proposed cluster-based CNM (CCNM) is elaborated with suitable illustrations. The outcome of mathematical analysis of the CCNM in terms of communication, computation, and storage overheads is included next. The simulation environment is also explained. This paper is concluded with the performance evaluation of the proposed model in terms of the criteria, namely communication cost, energy consumption, throughput, delay, packet delivery ratio, and packet loss. The communication cost of the proposed model is O(√N/Nc). N denotes the total number of sensor nodes in the network, and N_c denotes total number of clusters identified in the sensor network.
机译:如今,传感器正在广泛的应用中使用,包括关键任务军方以及民事域名。 数据传播和数据聚合是无线传感器网络的重要方面。 在本文中,介绍了WSN中梳针模型(CNM)中使用聚类的动机。 然后,用合适的插图详细说明所提出的基于簇的CNM(CCNM)。 接下来,CCNM在通信,计算和存储开销方面的数学分析结果是包括在内。 还解释了模拟环境。 本文以标准,即通信成本,能源消耗,吞吐量,延迟,数据包传递比和数据包丢失,结束了拟议模型的绩效评估。 所提出的模型的通信成本是O(√n/ nc)。 n表示网络中的传感器节点的总数,N_C表示传感器网络中识别的总数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号