دانلود رایگان مقاله انگلیسی شناسایی ادغام کننده های اطلاعات در شبکه حسگر بی سیم - 2017 IEEE

عنوان فارسی
شناسایی ادغام کننده های اطلاعات در شبکه حسگر بی سیم
عنوان انگلیسی
Identification of Data Aggregators in Wireless Sensor Network
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
5
سال انتشار
2017
نشریه
آی تریپل ای - IEEE
فرمت مقاله انگلیسی
PDF
کد محصول
E10513
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
شبکه های کامپیوتری
مجله
کنفرانس بین المللی ارتباطات بی سیم، پردازش سیگنال و شبکه - International Conference on Wireless Communications
دانشگاه
Department of Computer Science and Engineering - National Institute of Technology Goa - Goa-403401 - India
doi یا شناسه دیجیتال
https://doi.org/10.1109/WiSPNET.2017.8300107
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


Data aggregation is one of the major challenges in wireless sensor networks. Several approaches have been proposed in the past. They can be broadly categorized into three types. The first is tree-based approach, where data aggregation is performed by generating minimum spanning tree. The second is In-Network approach, where data aggregation is done by performing data compression operation on data. The third one is cluster-based approach, where data aggregation is done by dividing whole network into several clusters. The comprehensive study on data aggregation that is carried out reveals potential scope for improvement in the existing data aggregation algorithms. In this work, we construct Connected Dominating Set based on 1-hop Neighbors (CDS-1HN). This is used to determine the virtual backbone of a given network. Data aggregators are identified by using the virtual backbone. The results reveal that considerable amount of energy can be saved by using the proposed method.

نتیجه گیری

CONCLUSION AND FUTURE WORK


The energy utilization of a network can be reduced by determining appropriate data aggregators from a given network. In this work, we proposed CDS-1HN, a method to determine CDS in a given network. CDS-1HN was compared with two existing algorithms. Experimental results show that the proposed algorithm saves more energy compared to the existing algorithms by identifying the appropriate dominators. To avoid the network failure, it is needed to balance the load on each data aggregator. An efficient algorithm to balance the traffic load on dominators is proposed to be designed in the future.


بدون دیدگاه