Wireless network has emerged as the primary technology for the next generations networks and it adopts various feature such as ease of deployment, low cost, increased coverage which forms the selforganized structure without relying on any fixed network. Wireless network possesses various multimedia transmission application such as real time delivery of audio, video and VOIP; out of these services video transmission is considered as more challenging as it requires high QoS as the QoS are degraded often due to unreliable nature of network, fading radio signals, node's mobility. Moreover, high quality video transmission requires high QoS such as efficient bandwidth utilization, high throughput, low delay and high PSNR value for video transmission; in order to utilize the network resources, guaranteed QoS is essential requirement which has been researched by several researchers, however main issue of these approaches are missing end-to-end QoS guarantee for video transmission. In this paper we design and develop an ICLO (Integrated Cross Layer optimization) approach which aims to enhance the Quality of Service; considering two major issue i.e. video encoding and packet transmission. Further, these problem are solved through various optimization model such as optimization of channel modelling, obstacle aware interference modelling, queueing model and video distortion model. Further these optimization are integrated to solve the designed problem which enhances the Quality of Service. Further, we evaluate the ICLO considering the performance metrics like bandwidth efficiency, PSNR, Throughput and End-to-End delay.
In order to increase the network latency and resolve the security bottlenecks induced by the camouflaged malicious nodes in Wireless Sensor Networks, the residual energy and trust values are used to form a secured clustering, the network lifetime is increased by using the backup nodes in order to distribute the load among the secured clusters and reliable multipath node disjoint route discovery algorithm is proposed. The simulated experimental results in NS2 platform show that the proposed method can minimize the effect of malicious nodes and improve the network lifetime for the sensor network by balancing the trust values and residual energy of sensor nodes.
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