Trilateration method based node localization and energy efficient routing using rsa for under water wireless sensor network

IF 3.8 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
A. Shenbagharaman , B. Paramasivan
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引用次数: 0

Abstract

UWSN refers to a collection of numerous underwater wireless sensor-nodes dispersed throughout the marine environment. Proposed work develops node-localization and optimal relay node selection based routing approach for UWSN. Target nodes initially listen to the beacon for a certain amount of time whenever they are within range of an anchor node before retrieving an anchor-node with RSS data. Next, the Euclidean distance between a target node and an anchor node is determined. After that, another two anchor nodes were placed within the transmission range. The suggested approach then uses modified COOT-optimization to determine the target sensor node's coordinates in an effort to reduce localization-error. After that, the process of uneven clustering and selecting the cluster heads was done. For identifying the ideal relay node, the proposed technique employs a parameter-based approach to CH discovery, particularly RSO. Finally, using an information fusion technique, the sensing information is sent through relay nodes. Proposed localization and routing algorithm is validated using some of the parameter which achieves better performance like 94% localization accuracy, 6% localization error, 2.4% throughput value and 81% packet delivery ratio. It performs better when compared to other existing approaches such as DEEC, SEP, ELEACH and LEACH whose localization accuracy are 93%, 84%, 80% and 78%. Thus the techniques utilized in this proposed approach are the best choice for node localization and routing in UWSN.

基于三摄法的节点定位和使用 RSA 的水下无线传感器网络高能效路由选择
UWSN 是指分散在整个海洋环境中的众多水下无线传感器节点的集合。拟议的工作为 UWSN 开发了基于节点定位和最佳中继节点选择的路由方法。目标节点只要在锚节点的范围内,就会先监听一定时间的信标,然后通过 RSS 数据检索锚节点。然后,确定目标节点与锚节点之间的欧氏距离。然后,在传输范围内再放置两个锚节点。然后,建议的方法使用修改后的 COOT 优化来确定目标传感器节点的坐标,以减少定位误差。之后,进行不均匀聚类和选择簇头的过程。为了确定理想的中继节点,所提出的技术采用了一种基于参数的方法来发现中继节点,特别是 RSO。最后,利用信息融合技术,通过中继节点发送传感信息。建议的定位和路由算法通过一些参数进行了验证,取得了较好的性能,如 94% 的定位精度、6% 的定位误差、2.4% 的吞吐值和 81% 的数据包传送率。与 DEEC、SEP、ELEACH 和 LEACH 等其他现有方法相比,它的定位精度分别为 93%、84%、80% 和 78%,表现更佳。因此,本建议方法中使用的技术是 UWSN 中节点定位和路由选择的最佳选择。
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来源期刊
Sustainable Computing-Informatics & Systems
Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
10.70
自引率
4.40%
发文量
142
期刊介绍: Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.
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