A Self-Adaptive QoS Guarantee Scheme for Multimedia Sensor Networks

2010 ◽  
Vol 6 (1) ◽  
pp. 316342 ◽  
Author(s):  
Yan Sun ◽  
Huadong Ma ◽  
Liang Liu
Keyword(s):  
Sensor Networks ◽  
Transport Layer ◽  
Application Layer ◽  
Simulation Experiments ◽  
Qos Guarantee ◽  
Multimedia Sensor Networks ◽  
Qos Guarantees ◽  
Media Stream ◽  
Adaptive Qos ◽  
Self Adaptive

In multimedia sensor networks, there may exist simultaneously two streams: end-to-end stream and event-to-sink stream. It brings a new set of challenges for QoS guarantees in multimedia transmission. In this paper, we first present a self-adaptive QoS guarantee scheme based on two-layer feedback. In transport layer, we partition network into 10 typical states and design a transport protocol, which makes the state transition to the optimal one. Moreover, we design a revenue structure of media stream to describe the relation between QoS and multimedia capturing approaches in the application layer, thus evaluating the optimal scheme of capturing multimedia according to multimedia packet generation ratio calculated by transport layer. A series of simulation experiments using NS2 are performed to demonstrate the effectiveness of our proposed scheme.

scholarly journals QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

2019 ◽  
Vol 2019 ◽  
pp. 1-33
Author(s):  
Muwonge Ssajjabbi Bernard ◽  
Tingrui Pei ◽  
Kimbugwe Nasser
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
System Optimization ◽  
Wireless Multimedia Sensor Networks ◽  
Sensor Data ◽  
Cross Layer ◽  
Wireless Multimedia ◽  
Application Layer ◽  
Mac Layer ◽  
Multimedia Sensor Networks

Wireless multimedia sensor networks (WMSNs) have got capacity to collect both scalar sensor data and multidimensional sensor data. It is the basis for the Internet of things (IoT). Quality of service (QoS) pointers like energy efficiency, reliability, bit error rate, and latency can be helpful in data collection estimation over a network. In this paper, we review a number of QoS strategies for WMSNs and wireless sensor networks (WSNs) in the IoT context from the perspective of the MAC and application layers as well as the cross-layer paradigm. Considering the MAC layer, since it is responsible for regulating the admittance to the shared medium and transmission reliability and efficiency through error correction in wireless transmissions, and for performance of framing, addressing, and flow control, the MAC protocol design greatly affects energy efficiency. We thus review a number of protocols here including contention-free and contention-based protocols as well as the hybrid of these. This paper also surveys a number of state-of-the-art machine-to-machine, publish/subscribe, and request/response protocols at the application layer. Cross-layer QoS strategies are very vital when it comes to system optimization. Many cross-layer strategies have been reviewed. For these QoS strategies, the challenges and opportunities are reviewed at each of the layers considered. Lastly, the future research directions for QoS strategies are discussed for research and application before concluding this paper.

scholarly journals A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 199 ◽  
Author(s):  
Shu Li ◽  
Jeong Geun Kim ◽  
Doo Hee Han ◽  
Kye San Lee
Keyword(s):  
Sensor Networks ◽  
Energy Efficient ◽  
Communication Protocols ◽  
Service Differentiation ◽  
Wireless Multimedia Sensor Networks ◽  
Wireless Multimedia ◽  
Still Images ◽  
Multimedia Sensor Networks ◽  
Qos Guarantees ◽  
Recent Developments

In recent years, wireless multimedia sensor networks (WMSNs) have emerged as a prominent technique for delivering multimedia information such as still images and videos. Being under the great spotlight of research communities, however, multimedia delivery over resource- constraint WMSNs poses great challenges, especially in terms of energy efficiency and quality-of-service (QoS) guarantees. In this paper, recent developments in techniques for designing highly energy-efficient and QoS-capable WMSNs are surveyed. We first study the unique characteristics and the relevantly imposed requirements of WMSNs. For each requirement we also summarize their existing solutions. Then we review recent research efforts on energy-efficient and QoS-aware communication protocols, including MAC protocols, with a focus on their prioritization and service differentiation mechanisms and disjoint multipath routing protocols.

scholarly journals Fuzzy logic and image compression based energy efficient application layer algorithm for wireless multimedia sensor networks

2020 ◽  
Vol 17 (2) ◽  
pp. 509-536
Author(s):  
Arafat Senturk ◽  
Resul Kara ◽  
Ibrahim Ozcelik
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Image Compression ◽  
Data Transmission ◽  
Wireless Multimedia Sensor Networks ◽  
Environmental Data ◽  
Sensor Nodes ◽  
Wireless Multimedia ◽  
Application Layer ◽  
Multimedia Sensor Networks

Wireless Sensor Networks (WSN) are the networks that can realize data processing and computation skills of sensor nodes over the wireless channel and they have several communication devices. Wireless Multimedia Sensor Networks (WMSN) are the networks composed of low-cost sensor nodes that transmit realtime multimedia data like voice, image, and video to each other and to sink. WMSN needs more energy and bandwidth than WSN since they transmit a larger amount of data. The size of the data transmitted by the sensor nodes to each other or the sink becomes an important factor in their energy consumption. Energy consumption is a fundamental issue for WMSN. Other issues that affect the progress of WMSN are limited bandwidth and memory constraints. In these networks, for which the node battery lives are important sources, the limited sources must be effectively used by decreasing the transmitted data amount by removing the redundant data after proper processing of the environmental data. A new algorithm is developed to minimize the energy consumption during image data transmission between sensor nodes on WMSN, and so, make the nodes use their most important source, battery life effectively in this study. This algorithm is named as Energy-aware Application Layer Algorithm based on Image Compression (EALAIC). This algorithm makes use of the top three image compression algorithms for WMSN and decides instantly to which one is the most efficient based on three parameters: the distance between the nodes, total node number, and data transmission frequency. In this way, the sensor node battery lives are used efficiently. The performance analysis of the developed algorithm is also done via Network Simulator ? 2 (NS ? 2) and it is compared by the existing algorithms in terms of energy rate (consumed energy/total energy) and PSNR (Peak Signal to Noise Ratio).

Application of Internet of Things Technology in Tracing to Food Source

2013 ◽  
Vol 469 ◽  
pp. 467-472
Author(s):  
Rui Zhi Shi ◽  
Kun Yang ◽  
Qiang Su ◽  
Xiao Zhou ◽  
Han Zhong Shi
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Food Packaging ◽  
Food Source ◽  
Transport Layer ◽  
Sensor Technology ◽  
Application Layer ◽  
Bar Code ◽  
User Terminal ◽  
Internet Of Things Technology

At present, one-dimension codes are printed on food packaging, so is the bar code on the same kind of food. However, this method can only manage the same type of food. It cannot manage the single food. For this reason, we cant achieve the goal of tracing to the food source. The model of Internet of Things mainly includes the perceptual layer, the transport layer and the intelligent application layer. The perceptual layer recognizes objects through sensing devices and collects the exclusive identification on food, then connects to the wireless network or wire network through interface. In transport layer, by means of internet or LAN, the data which has already been collected by the perceptual is transferred to the information center or network administration center for processing and analyzing. According to the needs of tracing to food, the application layer source provides service call interface or API platform service to reach the depth integration of the information and traces to food source management, which can realize the intelligent operation management of food manufacturing and circulation. This paper proposes the Sense organs of Internet of Things, which is composed of the two-dimensional code technologies, RFID technology and sensor technology, wireless sensor networks or wired sensor networks composed of "nervous system". And then it makes full use of the variable information printing technology to print exclusive code on the single food packaging, and uses RFID reader register large quantities of food rapidly. It also uses database management software and user terminal to track the whole process of food production and circulation, in which food can be checked and inquired by network search platform.

Entropy-based adaptive QoS routing for wireless sensor networks

2011 ◽  
Vol 31 (2) ◽  
pp. 298-300
Author(s):  
Wei-ren SHI ◽  
Ming-meng YAN ◽  
He HUANG
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Qos Routing ◽  
Wireless Sensor ◽  
Adaptive Qos
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