Energy-Aware Cross Layer Framework for Multimedia Transmission over Wireless Sensor NetworksMohammed Ezz El Dien*, Aliaa AA Youssif and Atef Zaki Ghalwash
Department of Computer Science, University of Helwan, Helwan, Egypt
- *Corresponding Author:
- Mohammed Ezz El Dien
Department of Computer Science
University of Helwan
E-mail: [email protected]
Received date: February 14, 2016; Accepted date: February 15, 2016; Published date: February 18, 2016
Citation: El Dien ME, Youssif AAA, Ghalwash AZ (2016) Energy-Aware and Adaptive Cross Layer Framework for Video Transmission over Wireless Sensor Networks. Sensor Netw Data Commun 5:136. doi:10.4172/2090-4886.1000136
Copyright: © 2016 El Dien ME, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Wireless Multimedia Sensor Networks (WMSNs), is a network of sensors which are limited in terms of computational, memory, bandwidth, and battery capability. Multimedia transmission over WSN requires certain Qos guarantees such as huge amount of bandwidth, strict delay and lower loss ratio, which makes transmitting multimedia content over it, is a challenging problem. Recently adopting cross-layer design in WMSNs proved to be a promising approach, which improves quality of service of WSN under various operational conditions. In this work, an energy aware framework for transmitting multimedia content over WSN (ECWMSN) is presented, where packet and path scheduling were introduced, so that It adaptably selects optimum video encoding parameters at application layer according to current wireless channel state, and schedules packets according to its type to drop less important packets in case of network congestion. Finally, path scheduling is introduced so that different packets types/priority is routed through suitable path with suitable Qos taking into consideration the network lifetime. Simulation results show that ECWMSN optimizes video quality and prolongs network lifetime.