Energy Enhancement Techniques for Structure-Free Wireless Sensor Network with Encrypted Data

Author:

Chaiel Hussain K.1,Al-Husseini Zainab S.M.2,Arif Khaldun I.2

Affiliation:

1. Depertment of Physics, University of Sumer, Rifae, Iraq

2. Depertment of Computer Science, Thi-Qar University, Street 64001, Nassiriah, Iraq

Abstract

Background: Nowadays, in military and border surveillance application, the WSNs become an effective part of the command and control system. This requires an efficient type of cryptography. Due to small size requirement, elliptic curve becomes the most suitable for such purpose. Objective: The encryption operation, in turn, increases the power required to transmit data through the network. The aim of this work is to reduce such power. Methods: This work suggests three methods to reduce the needed power. The first method is based on spread spectrum technology, which reduces the total number of levels in the network. The second method deals with algorithm used to choose the sensing node, while the third method suggests a cost function related directly to the available energy. Results: Computer simulation tests show a reduction in the required energy by 40% when we apply the first method, while the second and third methods together reduce the energy by 12% of the total value of the whole network. Conclusion: The energy required to transmit encrypted data can be reduced with the aid of routing algorithms. These algorithm increase the coverage radius of the node transmission.

Publisher

Bentham Science Publishers Ltd.

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Computer Science Applications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3