Abstract:Wireless Multimedia Sensor Networks (WMSNs), is a network of sensors, which are limited in terms of memory, computing, bandwidth, and battery lifetime. Multimedia transmission over WSN requires certain QoS guarantees such as huge amount of bandwidth, strict delay and lower loss ratio that makes transmitting multimedia is a complicated task. However, adopting cross-layer approach in WMSNs improves quality of service of WSN under different environmental conditions. In this work, an energy efficient and QoS aware… Show more
“…However, the unequal importance of multiple transmissions was not fully investigated. In [18], the authors optimized the energy efficiency at the application layer. They adapt video encoder parameters based on the channel state and drop less important packets to avoid network congestion.…”
Section: A Energy Optimization For Video Transmissionmentioning
“…However, the unequal importance of multiple transmissions was not fully investigated. In [18], the authors optimized the energy efficiency at the application layer. They adapt video encoder parameters based on the channel state and drop less important packets to avoid network congestion.…”
Section: A Energy Optimization For Video Transmissionmentioning
“…Due to the tremendous growth and complex nature of 4G networks, it is difficult to manage. In order to control and mange such a complex network, CAC is required [1][2][3][4][5].…”
Call admission control (CAC), a resource management function, is required to regulate network access to provide the required levels of QoS to emerging services in Fourth Generation (4G)
“…4G communication networks strive to seamlessly integrate various existing wireless communication technologies with the goal of replacing the entire core of cellular networks with a single worldwide cellular network. It provides capabilities defined by International Telecommunication Union (ITU) in Internet Mobile Telephony (IMT) Advanced [1]. 4G network is believed to be the fastest network technology following the path set and commercially deployed by its wireless siblings, evolved to offer a mobile environment with high data rate up to 450 Mbps and efficient quality of service (QoS) for real-time applications [2].…”
This paper presents a technique to control based on interval type-2 fuzzy logic system (IT2FLS) of Mamdani fuzzy inference, employed to model connection admission control in Fourth Generation (4G) Networks in order to improve quality of service (QoS
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