【摘 要】
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Nowadays,with the advancement of new technologies such as the Internet of Things,new ap-plications and intelligent networks,the use of wire-less sensor network increased considerably.They are prone to a variety of attacks.Thus,network secu-rity is of utmo
【机 构】
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Department Of Computer Engineering,Arak Branch,Islamic Azad University,Arak 38361-1-9131,Iran
论文部分内容阅读
Nowadays,with the advancement of new technologies such as the Internet of Things,new ap-plications and intelligent networks,the use of wire-less sensor network increased considerably.They are prone to a variety of attacks.Thus,network secu-rity is of utmost importance to researchers.In the past,methods such as cryptography,authentication and hash function were used to create security in this type of network.However,due to the limitations of this type of network,trust-based methods are used today.Finding a secure route for transferring data among available routes greatly increases security in this network.In this paper,we present aTrust-based Routing Optimization using Multi-Ant Colonies (MA-CRAT) scheme which is based on the improvement of the ant meta-heuristic algorithm and an improved method for trust assessment which is presented.The simulation results illustrate that MACRAT is more ef-ficient than existing routing protocols.The results show that MACRAT improved by 10% in black hole detection compared to ESRT protocol and by 4% com-pared to M-CSO protocol,the packet loss rate in MA-CRAT improved by 30.14% compared to ESRT proto-col and 6% compared to M-CSO protocol.
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Pilot pattern has a significant effect on the performance of channel estimation based on com-pressed sensing.However,because of the influence of the number of subcarriers and pilots,the complexity of the enumeration method is computationally impracti-cal.
Efficient response speed and information processing speed are among the characteristics of mo-bile edge computing (MEC).However,MEC easily causes information leakage and loss problems because it requires frequent data exchange.This work pro-poses an anony