A Survey of Multimedia Streaming in Wireless Sensor Networks: Progress, Issues and Design Challenges

Cevik, Taner; Gunagwera, Alex; Cevik, Nazife

doi:10.5121/ijcnc.2015.7508

Cited by 16 publications

(4 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These devices are now playing an ever increasingly important role in lives. Recently, industry has made significant progress in resolving a lot of constraints due to the widespread adoption of wireless technologies [15]. It can be observed that the behaviour of radio signals is very different in the underground mines compared to that in outdoor and line of sight environments.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring

Thenmozhi¹,

Amutha

Valsalakumar

et al. 2021

Energies

View full text Add to dashboard Cite

The impact of multimedia in day-to-day life and its applications will be increased greatly with the proposed model (MSVPC)–5G Multicast SDN network eminence video transmission obtained using PSO and cross layer progress in wireless nodes. The drone inspection and analysis in a solar farm requires a very high number of transmissions of various videos, data, animations, along with all sets of audio, text and visuals. Thus, it is necessary to regulate the transmissions of various videos due to a huge amount of bandwidth requirement for videos. A software-defined network (SDN) enables forwarder selection through particle swarm optimization (PSO) mode for streaming video packets through multicast routing transmissions. Transmission delay and packet errors are the main factors in selecting a forwarder. The nodes that transfer the videos with the shortest delay and the lowest errors have been calculated and sent to the destination through the forwarder. This method involves streaming to be increased with the highest throughput and less delay. Here, the achieved throughput is shown as 0.0699412 bits per second for 160 s of simulation time. Also, the achieved packet delivery ratio is 81.9005 percentage for 150 nodes on the network. All these metrics can be changed according to the network design and can have new results. Thus, the application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in drone thermal imaging helps in monitoring solar farms more effectively, and may lead to the development of certain algorithms in prescriptive analytics which recommends the best practices for solar farm development.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring

Thenmozhi¹,

Amutha

Valsalakumar

et al. 2021

Energies

View full text Add to dashboard Cite

show abstract

“…WINs, whose architecture utilizes radio links for communication [3], µAMPS [4] is equipped with a transceiver that uses Bluetooth and also has frequency generator, some are designed to conserve as much power as possible, e.g. [5] uses a one-channel RF transceiver thereby consuming less power. Heterogeneous WSNs are networks that are comprised of varying sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Coverage and Energy Efficiency Optimization for Randomly Deployed Multi-Tier Wireless Multimedia Sensor Networks

Cevik

Gunagwera

2022

Int. j. commun. netw. inf. secur.

Self Cite

View full text Add to dashboard Cite

In this study, a novel multi-tier framework is proposed for randomly deployed WMSNs. Low cost directional Passive Infrared Sensors (PIR sensors) are randomly deployed across a Region of Interest (RoI), which are activated according to the Differential Evolution (DE) algorithm proposed for coverage optimization. The proposed DE and the Genetic Algorithms are applied to optimize the coverage maximization using minimum sensors. Results obtained using the two approaches are tested and compared. Only the scalar sensors that are yielded by the coverage optimization process are kept active throughout the network lifetime while the multimedia sensors are kept in silent. When an event is detected by a scalar sensor, the corresponding multimedia sensor(s), in whose effective coverage field of view (FoV) that the target falls, is then activated to capture the event (target point/scene). The analysis of the network total energy expenditure and a comparison of the proposed framework to current approaches and frameworks is made. Simulation results show that the proposed architecture achieves a remarkable network lifetime prolongation while extending the coverage area.

show abstract

“…Solutions have been proposed for fixed patterns of communication, such as collecting low frequency sensor measurements [ 1 ]. However, another opposite communication pattern is the bulk transmission characterising for instance the family of Wireless Multimedia Sensor Networks (WMSNs) [ 1 , 2 , 3 , 4 ]. The latter have shifted the focus from the typical scalar WSNs to networks which deliver multimedia traffic as video, audio, still image in addition to scalar data.…”

Section: Introductionmentioning

confidence: 99%

Extensive Experimentations on Opportunistic Routing in Wireless Sensor Networks

Amdouni

Adjih

Aitsaadi

et al. 2018

Sensors

View full text Add to dashboard Cite

In this paper, we design and experiment ODYSSE (Opportunistic Duty cYcle based routing protocol for wirelesS Sensor nEtworks) protocol. It combines three main mechanisms: (i) duty cycle, where nodes alternate between active and sleep states, (ii) opportunistic routing where routing tables do not exist and the next hop is elected once the packet arrives, and (iii) source coding with LDPC (Low-Density Parity-Check) codes in order to face packet losses while minimizing energy consumption. We focus on two heterogeneous scenarios: bulk image transmission and infrequent events reporting. Modeling the average waiting delay of forwarders, we show that simple relay selection strategies are effective. We used 45 Arduino nodes communicating with IEEE 802.15.4 (XBee) within the large platform FIT IoT-LAB (IoT-LAB is part of the large platform FIT: Future Internet of Things). We implement and extensively study the behavior and performance of our proposal ODYSSE. We show that the three techniques fit perfectly, yielding a robust low complexity protocol for highly constrained nodes in typical IoT applications.

show abstract

A Survey of Multimedia Streaming in Wireless Sensor Networks: Progress, Issues and Design Challenges

Abstract: Advancements in Complementary Metal

Cited by 16 publications

References 72 publications

Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring

Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring

Coverage and Energy Efficiency Optimization for Randomly Deployed Multi-Tier Wireless Multimedia Sensor Networks

Extensive Experimentations on Opportunistic Routing in Wireless Sensor Networks

Contact Info

Product

Resources

About