Wireless Sensor Networks (WSN) has become a part of our daily life with lots of future
expectations, especially in the area like defense, health, agriculture and many more. This …

To effortlessly gather knowledge and data from wireless devices, Wireless Sensor Networks
(WSNs) are now used as one of the successful distributed applications. The unique …

Deep Learning is the subset of artificial intelligence and various techniques are available to
predict the performance of real time applications. Wireless devices are available to access …

Today WSN are highly approached technology that used to interact several sensor nodes
corresponding to at least common application. The WSN is affected by the problem of …

Wireless sensor network based applications have gained a significant importance in recent
years. However, it creates problems when sending the detected data over distant stations …

Wireless Sensor network (WSN) is one of the most attractive fields for researchers. This
paper studies about optimization techniques such as Weighted Compressive Data …

میس یب هکبش رد وئدیو لاقتنا یارب تسا وئدیو یزاس هدرشف متسیس کی لباتروپ یاضاقت رب
ینتبم ییوئدیو متسیس هاگتسد هب لاصتا تیلباق دنک یم هدافتسا ثوتولب و یاف یاو درادناتسا …‎

Designing a wireless sensor network for vehicular traffic and CO2 pollution monitoring in an
urban area Page 1 Designing a wireless sensor network for vehicular traffic and CO2 …

Abstract The Internet of Things (IoT) has been employed in a variety of critical fields,
including healthcare, geriatric surveillance, self-driving vehicles, and energy management …

This paper presents a fuzzy logic-based, service differentiated, QoS aware routing protocol
(FMSR) offering multipath routing for WSNs, with the purpose of providing a service …