Enhancing Sensor Network Security with Improved Internal Hardware Design
نویسندگان
چکیده
منابع مشابه
Wireless sensor network design through genetic algorithm
In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network criteria and characteristics. Type of deployment, effect of network size, radio communication...
متن کاملSecurity Improved Mobi-Sync Protocol for Under Water Sensor Network
Time synchronization plays a critical role in distributed network systems. In this paper, we investigate the time synchronization problem in the context of underwater sensor networks (UWSNs). A synchronization algorithm for UWSNs must consider additional factors such as long propagation delays from the use of acoustic communication and sensor node mobility. These unique challenges make the accu...
متن کاملHardware Design for Realization of Smart Sensor Network
Advances in micro-electrical-mechanical systems (MEMS), coupled with new optical devices, present enormous possibilities in the areas of sensors and energy harvesting. Marrying the MEMs and optical sensors (such as IR detectors) with smart electronics can also open new doors in novel machine vision technology such as neuromorphic spectrally agile and retinal sensors. Further, nano-retina sensor...
متن کاملDesign of Network Security Devices with Hardware Compilation and FPGA Development System --- Extended Abstract
Embedded network security devices are on the increase as purely software approaches cannot cope with existing packet throughputs, let alone high-performance LANs such as Gb Ethernet. For example, Sourcefire Inc., well known for Snort --a rule-based software search engine, have turned to an intrusion detection system (IDS) using up to ten G5 PowerPC processors aimed at fibre-optic line-rates of ...
متن کاملwireless sensor network design through genetic algorithm
in this paper, we study wsn design, as a multi-objective optimization problem using ga technique. we study the effects of ga parameters including population size, selection and crossover method and mutation probability on the design. choosing suitable parameters is a trade-off between different network criteria and characteristics. type of deployment, effect of network size, radio communication...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s19081752