Abstract

Technological progress in the fields of Micro Electro-Mechanical Systems (MEMS) and wireless communications and also the availability of CMOS cameras, microphones and small-scale array sensors, which may ubiquitously capture multimedia content from the field, have fostered the development of low-cost limited resources Wireless Video-based Sensor Networks (WVSN). With regards to the constraints of video-based sensor nodes and wireless sensor networks, a supporting video stream is not easy to implement with the present sensor network protocols. In this paper, a thorough architecture is presented for video transmission over WVSN called Energy-efficient and high-Quality Video transmission Architecture (EQV-Architecture). This architecture influences three layers of communication protocol stack and considers wireless video sensor nodes constraints like limited process and energy resources while video quality is preserved in the receiver side. Application, transport, and network layers are the layers in which the compression protocol, transport protocol, and routing protocol are proposed respectively, also a dropping scheme is presented in network layer. Simulation results over various environments with dissimilar conditions revealed the effectiveness of the architecture in improving the lifetime of the network as well as preserving the video quality.

Highlights

  • The advances in Micro Electro-Mechanical Systems (MEMS) and wireless communications resulted in the wireless sensor networks (WSN)

  • Battery awareness and video quality issues are considered in application, transport and network layers of communication protocol stack

  • A prioritized video compression protocol in application layer and new transport layer protocol along with two dropping schemes and single-path routing protocol in network layer are introduced in this architecture

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Summary

Introduction

The advances in Micro Electro-Mechanical Systems (MEMS) and wireless communications resulted in the wireless sensor networks (WSN). End-to-end delay and loss should be identified for multimedia during network transport [8] Most of these applications use WMSN with video sensor nodes (VSN), which are called wireless video-based sensor networks (WVSN). WVSNs were initially devised as a collection of small, inexpensive, battery operated nodes with the ability to communicate with each other wirelessly over a limited transmission range These networks are different from traditional wireless sensor networks due to the fact that nodes are equipped with very low power cameras. The application, transport, and network layers of the communication stack are customized for video transmission in EQV-Architecture to improve the performance of WVSN.

Application Layer Related Works
Transport Layer Related Works
Routing Protocol Related Works
Overall Design Architecture
Video Compression Sub-Application Layer Protocol for WVSN
Real-Time and Reliable Transport Layer Protocol for WVSN
Routing Protocol and Innovative Dropping Scheme in Network Layer for WVSN
M-Frame
M-Frames Compression
Blocking
D-Frame
D-Frames Compression
M-Frame Transmission in Dynamic Periods
Network Layer for WVSN
New Energy-Efficient and Single-Path Routing Protocol for WVSN
Routing protocol for Sender-Mode of VSN
Routing protocol for Receiver-Mode of VSN
Dropping Scheme
Energy Aware Dropping
Random Early Dropping
Energy level based packet selection
Hierarchical level based packet selection
Simulation
Selecting Quality Coefficient
Selecting Maximum Priority Level
Analyzing Energy Efficiency and Video Quality for Different Environments
Comparing EQV-Architecture with Other Protocols
Findings
Conclusions

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