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Journal articles on the topic 'Multimedia surveillance sensor networks'

Author: Grafiati

Published: 3 June 2025

Last updated: 13 July 2025

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1

Mostefaoui, Ahmed, and Benoit Piranda. "3D Real-Time Reconstruction Approach for Multimedia Sensor Networks." International Journal of Organizational and Collective Intelligence 1, no. 4 (2010): 61–77. http://dx.doi.org/10.4018/joci.2010100104.

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Multimedia sensor networks have emerged due to the tremendous technological advances in multimedia hardware miniaturization and the application potential they present. However, the time sensitive nature of multimedia data makes them very problematic to handle, especially within constrained environments. In this paper, the authors present a novel approach based on continuous 3D real time reconstruction of the monitored area dedicated for video surveillance applications. Real-time 3D reconstruction allows an important network bandwidth reduction in context to sensor nodes sending descriptive information to the fusion server instead heavy video streams. Each node has to support additional processing in order to extract this descriptive information in real-time, which results in video sensors capturing tasks, data analysis, and extraction of features needed for 3D reconstruction. In this paper, the authors focus on the design and implementation of such sensor node and validate their approach through real experimentations conducted on a real video sensor.

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Yang, Ming, Dajin Wang, and Nikolaos Bourbakis. "Optimization of Power Allocation in Multimedia Wireless Sensor Networks." International Journal of Monitoring and Surveillance Technologies Research 1, no. 1 (2013): 56–68. http://dx.doi.org/10.4018/ijmstr.2013010104.

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Wireless Sensor Networks (WSN) have been widely applied in monitoring and surveillance fields in recent years and have dramatically changed the methodologies and technologies in monitoring and surveillance. However, the sensor nodes in WSN have very limited computing resources and power supply, and thus the maximization of network life is a very critical issue. In the newly-emerging Wireless Multimedia Sensor Network (WMSN), the high volume of sensed video data needs to be compressed before transmission. Different video coding schemes have been developed and applied to wireless multimedia sensor networks, and there exists a tradeoff between the power consumption of data compression and that of data transmission. Video compression will reduce the amount of data that needs to be transmitted and thus the amount of power consumed for data transmission; however, too much video compression will consume excessive power which outweighs the power savings on data transmission. Thus, how to reach an optimized balance between compression and transmission and maximize network life becomes a challenging research issue. In this paper, the authors propose mathematical models which describe power consumptions of data compression and transmission of sensor nodes in hexagon-shaped clusters. Under the proposed model, they have achieved the optimized data compression ratio which can minimize the overall power consumption of the whole cluster.

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Abbas, Nasim, Fengqi Yu, and Yang Fan. "Intelligent Video Surveillance Platform for Wireless Multimedia Sensor Networks." Applied Sciences 8, no. 3 (2018): 348. http://dx.doi.org/10.3390/app8030348.

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Wang, Xue, Sheng Wang, Junjie Ma, and Xinyao Sun. "Energy-aware Scheduling of Surveillance in Wireless Multimedia Sensor Networks." Sensors 10, no. 4 (2010): 3100–3125. http://dx.doi.org/10.3390/s100403100.

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K.S. Kannan, B. Swathi, Kartik Jayathirth Kulkarni, Ganesh Davanam, Madhu Munagala, and Puvirajan T. "Improving the Quality of Service by Enhancing the Network Lifetime in Wireless Multimedia Sensor Networks." International Journal of Computer Information Systems and Industrial Management Applications 17 (January 6, 2025): 12. https://doi.org/10.70917/ijcisim-2025-0006.

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Data has become paramount in the 21st century, from major contributors including social media, smartphones, individual health records, etc. Megabytes and gigabytes used to be the standard units of data storage, but nowadays Petta bytes and Zetta bytes of data are being produced at an exceptional rate and in a wide range of formats. Wireless sensor networks (WSN) are a type of WSN in which each node is equipped with sensing, processing, and communication capabilities. This network's ability to monitor and sense has led to its widespread use in fields as diverse as surveillance, military, medicine, and even the household. Networks that evolved from WSN to address problems peculiar to multimedia transmission are known as Wireless Multimedia Sensing Networks (WMSN). Video, audio, and visual content, as well as numerical data, can all be retrieved by the multimedia nodes. Every node in a WMSN has an energy limit. The network's lifespan is shortened because it's difficult to recharge or replace a dead battery. Transmission of video, music, images, and scalar data by wireless multimedia sensor nodes will increase their power consumption. In addition, the efficient operation of the network is contingent upon the following parameters being met during the transfer of multimedia data: a large bandwidth, high transmission of packets ratio, excellent throughput, acceptable end to end a delay, tolerable jitter, less frames loss rate, and low computation time. The sum of these measurements is the network's Quality of Service (QoS). A network's lifetime is defined as the amount of time it is able to function normally and carry out its designated function. To extend the useful life of multimedia networks, we devised a novel splitting of the underlying multidimensional functional structure and integrated it with Machine Learning techniques.

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Bhandary, Vikas, Amita Malik, and Sanjay Kumar. "Routing in Wireless Multimedia Sensor Networks: A Survey of Existing Protocols and Open Research Issues." Journal of Engineering 2016 (2016): 1–27. http://dx.doi.org/10.1155/2016/9608757.

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With the advancement of wireless sensor networks (WSNs) and technology, applicability of WSNs as a system is touching new heights. The development of multimedia nodes has led to the creation of another intelligent distributed system, which can transfer real-time multimedia traffic, ubiquitously. Wireless multimedia sensor networks (WMSNs) are applicable in a wide range of areas including area monitoring and video surveillance. But due to unreliable error-prone communication medium and application specific quality of service (QoS) requirements, routing of real-time multimedia traffic in WMSNs poses a serious problem. The paper discusses various existing routing strategies in WMSNs, with their properties and limitations which lead to open research issues. Further, detailed classification and analytical comparison of discussed protocols are also presented.

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Salim, Ahmed, Walid Osamy, and Ahmed M. Khedr. "Effective Scheduling Strategy in Wireless Multimedia Sensor Networks for Critical Surveillance Applications." Applied Mathematics & Information Sciences 12, no. 1 (2018): 101–11. http://dx.doi.org/10.18576/amis/120109.

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Yazici, Adnan, Murat Koyuncu, Seyyit Alper Sert, and Turgay Yilmaz. "A Fusion-Based Framework for Wireless Multimedia Sensor Networks in Surveillance Applications." IEEE Access 7 (2019): 88418–34. http://dx.doi.org/10.1109/access.2019.2926206.

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9

Diratie, Eyassu Dilla, Durga Prasad Sharma, and Khaldoun Al Agha. "Energy Aware and Quality of Service Routing Mechanism for Hybrid Internet of Things Network." Computers 10, no. 8 (2021): 93. http://dx.doi.org/10.3390/computers10080093.

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Wireless Multimedia Sensor Networks (WMSNs) based on IEEE 802.11 mesh networks are effective and suitable solutions for video surveillance systems in detecting intrusions in selected monitored areas. The IEEE 802.11-based WMSNs offer high bit rate video transmissions but are challenged by energy inefficiency issues and concerns. To resolve the energy inefficiency challenges, the salient research studies proposed a hybrid architecture. This newly evolved architecture is based on the integration of IEEE 802.11-based mesh WMSNs along with the LoRa network to form an autonomous and high bitrate, energy-efficient video surveillance system. This paper proposes an energy-aware and Quality of Service (QoS) routing mechanism for mesh-connected visual sensor nodes in a hybrid Internet of Things (IoT) network. The routing algorithm allows routing a set of video streams with guaranteed bandwidth and limited delay using as few visual sensor nodes as possible in the network. The remaining idle visual sensor nodes can be turned off completely, and thus it can significantly minimize the overall energy consumption of the network. The proposed algorithm is numerically simulated, and the results show that the proposed approach can help in saving a significant amount of energy consumption while guaranteeing bandwidth and limited delay.

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Wu, Wenping, and Biao Lu. "Construction of Wireless Sensor Network Video Surveillance System for Multimedia Classroom Education and Teaching under 5G Communication Network." Journal of Sensors 2022 (June 17, 2022): 1–12. http://dx.doi.org/10.1155/2022/6385391.

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Research on wireless sensor network video surveillance system is a hot field of media classroom education and teaching. Based on the 5G communication network theory, this paper constructs a wireless sensor network video monitoring system for multimedia classroom education and teaching, systematically analyzes the new distance education model under the condition of the integration of the two networks, and improves the interactive live classroom education model. For the classroom teaching mode, the model studies the isochronous transmission technology of data collection and video encoding and decoding, adopts hardware compression encoding, integrates key technologies such as reliable multicast and conditional access, and proposes the design of the system scheme, which solves the problem of multimedia classroom education and teaching digital issues. During the simulation process, the MATLAB software platform was used to study the effect of the number of 5G communication network nodes and node attributes (such as node position, node perception angle, instantaneous perception direction, or direction difference between neighboring nodes, node speed, etc.) on the target area or target point. The experimental results show that the performance of the joint optimization of transmission video quality and network lifetime performs well under multipath conditions. The total utility under multipath finally converges to 8.3, while the single path finally converges to 6.5, which further promotes the real-time performance of the multimedia network classroom teaching system.

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Taj, Bennani Mohamed, and Yaden Mohamed Faysal. "Leach: Effect of round length on transferring images using the DWT compression technique." E3S Web of Conferences 351 (2022): 01087. http://dx.doi.org/10.1051/e3sconf/202235101087.

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The advancements in electronics has permitted the production of small devices called sensors. These nodes can capture different types of data like images. The network that performs this role is called WMSN (wireless multimedia sensor network). In this kind of networks, a routing protocol is very important. One of the key features of Leach is the efficient management of energy. However, when it comes to send images, we have to verify the energy efficiency. In fact, we use transferring images using WMSN like agriculture and surveillance among others in multiple areas. In this paper, we are going to simulate this protocol using Omnet++/Castalia. We are also going to see the effect of round length on energy consumption and the number of transferring images.

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Ijemaru, Gerald K., Kenneth Li-Minn Ang, and Jasmine KP Seng. "Wireless power transfer and energy harvesting in distributed sensor networks: Survey, opportunities, and challenges." International Journal of Distributed Sensor Networks 18, no. 3 (2022): 155014772110677. http://dx.doi.org/10.1177/15501477211067740.

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Distributed sensor networks have emerged as part of the advancements in sensing and wireless technologies and currently support several applications, including continuous environmental monitoring, surveillance, tracking, and so on which are running in wireless sensor network environments, and large-scale wireless sensor network multimedia applications that require large amounts of data transmission to an access point. However, these applications are often hampered because sensor nodes are energy-constrained, low-powered, with limited operational lifetime and low processing and limited power-storage capabilities. Current research shows that sensors deployed for distributed sensor network applications are low-power and low-cost devices characterized with multifunctional abilities. This contributes to their quick battery drainage, if they are to operate for long time durations. Owing to the associated cost implications and mode of deployments of the sensor nodes, battery recharging/replacements have significant disadvantages. Energy harvesting and wireless power transfer have therefore become very critical for applications running for longer time durations. This survey focuses on presenting a comprehensive review of the current literature on several wireless power transfer and energy harvesting technologies and highlights their opportunities and challenges in distributed sensor networks. This review highlights updated studies which are specific to wireless power transfer and energy harvesting technologies, including their opportunities, potential applications, limitations and challenges, classifications and comparisons. The final section presents some practical considerations and real-time implementation of a radio frequency–based energy harvesting wireless power transfer technique using Powercast™ power harvesters, and performance analysis of the two radio frequency–based power harvesters is discussed. Experimental results show both short-range and long-range applications of the two radio frequency–based energy harvesters with high power transfer efficiency.

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Al-Jabry, Hanadi, and Hamid Al-Asadi. "Enhancing Packet Reliability in Wireless Multimedia Sensor Networks using a Proposed Distributed Dynamic Cooperative Protocol (DDCP) Routing Algorithm." Iraqi Journal for Electrical and Electronic Engineering 19, no. 2 (2023): 158–68. http://dx.doi.org/10.37917/ijeee.19.2.18.

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Wireless Multimedia Sensor Networks (WMSNs) are being extensively utilized in critical applications such as environmental monitoring, surveillance, and healthcare, where the reliable transmission of packets is indispensable for seamless network operation. To address this requirement, this work presents a pioneering Distributed Dynamic Cooperation Protocol (DDCP) routing algorithm. The DDCP algorithm aims to enhance packet reliability in WMSNs by prioritizing reliable packet delivery, improving packet delivery rates, minimizing end-to-end delay, and optimizing energy consumption. To evaluate its performance, the proposed algorithm is compared against traditional routing protocols like Ad hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR), as well as proactive routing protocols such as Optimized Link State Routing (OLSR). By dynamically adjusting the transmission range and selecting optimal paths through cooperative interactions with neighboring nodes, the DDCP algorithm offers effective solutions. Extensive simulations and experiments conducted on a wireless multimedia sensor node testbed demonstrate the superior performance of the DDCP routing algorithm compared to AODV, DSR, and OLSR, in terms of packet delivery rate, end-to-end delay, and energy efficiency. The comprehensive evaluation of the DDCP algorithm against multiple routing protocols provides valuable insights into its effectiveness and efficiency in improving packet reliability within WMSNs. Furthermore, the scalability and applicability of the proposed DDCP algorithm for large-scale wireless multimedia sensor networks are confirmed. In summary, the DDCP algorithm exhibits significant potential to enhance the performance of WMSNs, making it a suitable choice for a wide range of applications that demand robust and reliable data transmission.

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14

Kizilkaya, Burak, Enver Ever, Hakan Yekta Yatbaz, and Adnan Yazici. "An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 2 (2022): 1–21. http://dx.doi.org/10.1145/3473037.

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With improvements in the area of Internet of Things (IoT), surveillance systems have recently become more accessible. At the same time, optimizing the energy requirements of smart sensors, especially for data transmission, has always been very important and the energy efficiency of IoT systems has been the subject of numerous studies. For environmental monitoring scenarios, it is possible to extract more accurate information using smart multimedia sensors. However, multimedia data transmission is an expensive operation. In this study, a novel hierarchical approach is presented for the detection of forest fires. The proposed framework introduces a new approach in which multimedia and scalar sensors are used hierarchically to minimize the transmission of visual data. A lightweight deep learning model is also developed for devices at the edge of the network to improve detection accuracy and reduce the traffic between the edge devices and the sink. The framework is evaluated using a real testbed, network simulations, and 10-fold cross-validation in terms of energy efficiency and detection accuracy. Based on the results of our experiments, the validation accuracy of the proposed system is 98.28%, and the energy saving is 29.94%. The proposed deep learning model’s validation accuracy is very close to the accuracy of the best performing architectures when the existing studies and lightweight architectures are considered. In terms of suitability for edge computing, the proposed approach is superior to the existing ones with reduced computational requirements and model size.

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15

Spinsante, Susanna, and Ennio Gambi. "Integrated Multimedia and Sensor Data Management in Heterogeneous Home Networks: a Concept Proposal." Journal of Communications Software and Systems 6, no. 3 (2010): 101. http://dx.doi.org/10.24138/jcomss.v6i3.187.

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Home Area Networks designed for the delivery of both multimedia contents (e.g. TV programs, movies, music) and home automation services (e.g. household appliances commands, lighting and surveillance controls) are becoming widespread, especially thanks to the latest developments in wireless sensor and communication devices. This kind of networks, however, represents a new challenge for the networking field, particularly with respect to the integration of many different home and building automation solutions, that are not originally conceived to coexist and exchange data. Consequently, it is necessary to introduce an operational infrastructure able to interconnect differentdevices on the same communication link, or over different links, by means of a single user interface and a unified intelligence, thus making possible a complete and efficient management of the system. This paper outlines the main components in the design of an integrated home network architecture based on both commercial and customized devices developed ad-hoc, and provides preliminary results about the performance obtainable in the delivery of different data flows. The convergence of many differentiated services over IP-based architectures dramatically increases the amount of IP traffic to be delivered to the clients, so that Quality of Service management issues arise, and are to be taken into account.

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Bidai, Zahia, Moufida Maimour, and Hafid Haffaf. "Multipath Extension of the ZigBee Tree Routing in Cluster-Tree Wireless Sensor Networks." International Journal of Mobile Computing and Multimedia Communications 4, no. 2 (2012): 30–48. http://dx.doi.org/10.4018/jmcmc.2012040103.

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Wireless Multimedia Sensor Networks (WMSNs) are one of the most challenging applications of WSN. They require large amounts of data to be transmitted with high reporting rates which consume an order of magnitude of resources, such as storage, computation, bandwidth, and energy. On the other hand, the ZigBee standard was originally specified for low data rate, low power consumption, and low cost wireless personal area networks (WPANs), making it suitable to WSN. However, handling high data rate applications, such as video surveillance in WPANs, is a challenge. Simultaneous multipath routing is one solution to increase the available bandwidth in a ZigBee network. In this paper, we proposed Z-MHTR (ZigBee Multipath Hierarchical Tree Routing), a node disjoint multipath routing extension of the ZigBee tree routing protocol in cluster-tree WSNs. Extensive simulations were performed and showed that the propsed multipath routing enhances application performance in terms of packet delivery ratio, end to end delay, and network lifetime even under heavy data rates.

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Nandhini, S. Aasha, and S. Radha. "Efficient compressed sensing-based security approach for video surveillance application in wireless multimedia sensor networks." Computers & Electrical Engineering 60 (May 2017): 175–92. http://dx.doi.org/10.1016/j.compeleceng.2017.01.027.

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Küçükkeçeci, Cihan, and Adnan Yazıcı. "Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks." Big Data Research 11 (March 2018): 33–43. http://dx.doi.org/10.1016/j.bdr.2017.09.003.

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19

Mansour, Romany F., Carlos Soto, Roosvel Soto-Díaz, José Escorcia Gutierrez, Deepak Gupta, and Ashish Khanna. "Design of Integrated Artificial Intelligence Techniques for Video Surveillance on IoT Enabled Wireless Multimedia Sensor Networks." International Journal of Interactive Multimedia and Artificial Intelligence 7, no. 5 (2022): 14. http://dx.doi.org/10.9781/ijimai.2022.08.005.

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Kucukkececi, Cihan, and Adnan Yazici. "Multilevel Object Tracking in Wireless Multimedia Sensor Networks for Surveillance Applications Using Graph-Based Big Data." IEEE Access 7 (2019): 67818–32. http://dx.doi.org/10.1109/access.2019.2918765.

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21

Song, Liang, and Dimitrios Hatzinakos. "Real-Time Communications in Large-Scale Wireless Networks." International Journal of Digital Multimedia Broadcasting 2008 (2008): 1–16. http://dx.doi.org/10.1155/2008/586067.

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There is an emerging need for realizing real-time quality of service (QoS) over multihop wireless communications in large-scale wireless networks. The applications can include wireless mesh infrastructure for broadband Internet access supporting multimedia services, visual sensor networks for surveillance, and disaster-relief networks. However, a number of challenges still exist as revealed by recent works, where the dataflow QoS performance such as throughput and end-to-end delay can degrade fast with the number of wireless hops. We propose to use large-scale cognitive networking methods to resolve the wireless multihop challenges. By the cognitive-networking concept, data packets travel along opportunistically available paths in the network with opportunistically available spectrum in every hop. Reliable end-to-end communications can be achieved for real-time services, where we show that (1) dataflow throughput can be independent of any number of wireless hops, (2) end-to-end delay and delay variance increase linearly with the number of wireless hops, and (3) delay variance decreases to zero with higher network density. These results are supported by analysis, simulations, and experiments.

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Matheen, M. A., and S. Sundar. "A Novel Technique to Mitigate the Data Redundancy and to Improvise Network Lifetime Using Fuzzy Criminal Search Ebola Optimization for WMSN." Sensors 23, no. 4 (2023): 2218. http://dx.doi.org/10.3390/s23042218.

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Wireless Multimedia Sensor Network (WMSN) is a powerful technology that is widely used to gather data and monitor the actual environment for analysis. Furthermore, multimedia applications’ needs and the features, such as constrained latency and high bandwidth consumption, complicate the design of WMSN routing protocols. Despite several methods, the trouble of designing WMSNs routing protocol remains a hurdle. The miniaturization and enhancement of hardware facilitate an extensive range of applications in the military and public sectors. On the contrary, the streaming of multimedia content is captured and generated due to some event-triggered surveillance for a long duration of time. Hence, it is necessary for wireless multimedia sensor network (WMSN) to provide a strong hardware foundation, thereby satisfying Quality of Service (QoS) requirements. Initially, the network is clustered into several clusters and the nodes with rich resources are chosen as cluster heads. The significant intention of this paper is to eliminate data redundancy and to select optimal cluster heads, thereby minimizing the energy consumption. Therefore, this paper proposes a novel Fuzzy Criminal Search Ebola Optimization (FCSEO) algorithm for optimal selection of cluster heads. In addition to this, the data redundancy present in the proposed algorithm is mitigated and thus the network lifetime is enhanced. Finally, extensive experimentation is carried out for various performance measures to determine the efficiency of the proposed approach.

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Hussein, Aymen, S. Ahmed, Shorook K. Abed, and Noor Thamer. "Enhancing IoT-Based Intelligent Video Surveillance through Multi-Sensor Fusion and Deep Reinforcement Learning." Fusion: Practice and Applications 11, no. 2 (2023): 21–34. http://dx.doi.org/10.54216/fpa.110202.

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Currenlty, wireless communication that is successful in the Internet of Things (IoT) must be long-lasting and self-sustaining. The integration of machine learning (ML) techniques, including deep learning (DL), has enabled IoT networks to become highly effective and self-sufficient. DL models, such as enhanced DRL (EDRL), have been developed for intelligent video surveillance (IVS) applications. Combining multiple models and optimizing fusion scores can improve fusion system design and decision-making processes. These intelligent systems for information fusion have a wide range of potential applications, including in robotics and cloud environments. Fuzzy approaches and optimization algorithms can be used to improve data fusion in multimedia applications and e-systems. The camera sensor is developing algorithms for mobile edge computing (MEC) that use action-value techniques to instruct system actions through collaborative decision-making optimization. Combining IoT and deep learning technologies to improve the overall performance of apps is a difficult task. With this strategy, designers can increase security, performance, and accuracy by more than 97.24 %, as per research observations.

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Pathak, Manjiri. "OS design challenges & research opportunities in real-time WSNs & approach for real time support in Nano-RK." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 07 (2013): 198–203. https://doi.org/10.5281/zenodo.14607271.

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In recent years, wireless sensor network has become an important research domain. WSNs were initially proposed in domains where ordinary networks (not necessarily wired) are not convenient, either because of the missing infrastructures, or when numerous nodes (in the order of hundreds or thousands) are needed to achieve the assigned task. Nowadays WSNs represent a new generation of distributed embedded systems with a broad range of real-time applications. Some of the applications include process control, fire monitoring, border surveillance, medical care, asset tracking, agriculture, highway traffic coordination etc. Such systems need heavy computations & must meet new kinds of timing constraints under severe resource limitations & limited communication capabilities in highly dynamic environments. Bounded end-to- end delay and guaranteed Quality of Service is also expected. So it is highly necessary to have a common software framework that allows smooth and speedy development of the wide range of proposed sensor applications. An operating system can serve this purpose. Operating systems for WSNs should comprise abstractions that handle digital and analog sensors, provide a communication protocol stack, and make efficient use of the system's limited energy capability. Moreover, OSs should provide an interface and a simple configuration system for application developers [2]. The purpose of this survey is to highlight major concerns pertaining to OS design & research challenges in OS for WSNs in real time applications [1]. 

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Sacchi, C., G. Gera, and C. S. Regazzoni. "Use of intelligent sensors and software radio technologies for optimal design of reconfigurable multimedia surveillance networks." IEEE Communications Magazine 39, no. 8 (2001): 156–63. http://dx.doi.org/10.1109/35.952930.

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Akhtar Saeed, Ozgur Gurbuz, Mustafa Alper Akkas, and Ahmet Ozan Bicen. "Terahertz band communications as a new frontier for drone networks." ITU Journal on Future and Evolving Technologies 2, no. 7 (2021): 1–19. http://dx.doi.org/10.52953/shes9692.

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Terahertz band (0.1-10 THz) communications is one of the candidates for 6G systems due to intrinsic massive bandwidth and data rate support. Having demonstrated the significant potential of THz band at various atmospheric altitudes, in this article, we discuss the prospects of THz communications for drone networks, more specifically, for Drone Sensor Networks (DSNs). For 6G non-terrestrial communication scenarios, drones will not only serve as on-demand base-stations, as supporting alternatives or backhauls for the terrestrial base stations, but they will also provide seamless connectivity for distributed monitoring and surveillance applications, which require an ultra-reliable low latency service for carrying multimedia data. THz band sensing will also provide additional sensing capabilities from the sky to THz-enabled DSNs. Presenting this vision, in this paper, we first discuss possible use cases of THz-enabled drone networks considering communication, sensing and localization aspects. Then, for revealing the capacity potential of THz-enabled drone networks, we provide motivating channel capacity results for communication of drones at different altitudes, under ideal channel conditions with no fading and realistic channel with beam misalignment and multipath fading. We further present major challenges pertaining to employing the THz band for DSNs, addressing physical layer issues, followed with spectrum and interference management, medium access control and higher layers and security, while reviewing some prominent solutions. Finally, we highlight future research directions with Artificial Intelligence (AI)/Machine Learning (ML)-based approaches and mobile edge computing.

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Dr., Yusuf Perwej, and Akhtar Nikhat. "An Empirical Study on the Current State of Internet of Multimedia Things (IoMT)." International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), ISSN (Online) 2394-2320 Volume 8, Issue 3 (2021): Pages 25–42. https://doi.org/10.1617/vol8/iss3/pid85026.

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As the Internet continues to expand, immense people around the globe join the Internet. The Internet of Things (IoT) can be defined as the interconnection of peerless identifiable embedded computing devices within the current Internet infrastructure. This paradigm encompasses an infrastructure of software, hardware, and services that link tangible objects called things to the Internet. In Internet of Things technology, multimedia big data which is said to be the huge amount of data from multimedia devices will be generated with the swiftly rise of the multimedia gadgets and devices. The multimedia devices need higher processing and memory resources to process the obtained multimedia information. The Internet of Things systems are fiasco in realizing the multimedia devices connectivity unless they are able in processing multimedia gadgets and devices at a moment. In this paper, we are introduces a new concept of Internet of Multimedia Things (IoMT) for multimedia communications in Internet of Things (IoT). Internet of Multimedia Things (IoMT) communications play a vital role in Internet of Things (IoT) applications such as traffic control and handling, environmental monitoring, healthcare sector, observation & surveillance, event recognition and house monitoring and automation. In this paper, we present a comprehensive survey of IoMT and future research directions. The Internet of Multimedia Things (IoMT) applications such as real-time multimedia based security and monitoring in smart house, Smart Agriculture, multispecialty hospitals, metropolitan area, and smart transportation handling systems are of the most difficult systems to deploy.

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Khosravi, Mohammad R., and Sadegh Samadi. "Mobile multimedia computing in cyber-physical surveillance services through UAV-borne Video-SAR: A taxonomy of intelligent data processing for IoMT-enabled radar sensor networks." Tsinghua Science and Technology 27, no. 2 (2022): 288–302. http://dx.doi.org/10.26599/tst.2021.9010013.

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Zhuo, Li, Jie Liang, Zhiyong Wang, and Rong Ding. "Multimedia Sensor Networks." International Journal of Distributed Sensor Networks 10, no. 12 (2014): 573834. http://dx.doi.org/10.1155/2014/573834.

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Ye, Qian, Meng Wu, and Yu Fei Wang. "A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks." Applied Mechanics and Materials 511-512 (February 2014): 120–25. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.120.

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QoS assurance and information security are important for multimedia data transmission in wireless multimedia sensor networks. First, the status of multimedia sensor networks was introduced. Then research status of QoS assurance and information security of wireless multimedia sensor networks was surveyed, and the related open issues were also analyzed. Finally, the technology routes to solve the open issues were also studied and discussed. We argue that trusted QoS architecture considering various applications with different QoS requirements is important for wireless multimedia sensor networks. And network conditions and protocol layers must be well designed in QoS-aware secure multimedia routing mechanism to satisfy QoS requirements of multiple traffic classes. Technologies of information hiding, multimedia data resolution, and multi-routing can be used for privacy protection in wireless multimedia sensor networks.

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Alamri, Faten S., Khalid Haseeb, Tanzila Saba, Jaime Lloret, and Jose M. Jimenez. "Multimedia IoT-surveillance optimization model using mobile-edge authentic computing." Mathematical Biosciences and Engineering 20, no. 11 (2023): 19174–90. http://dx.doi.org/10.3934/mbe.2023847.

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<abstract> <p>Smart technologies are advancing the development of cutting-edge systems by exploring the future network. The Internet of Things (IoT) and many multimedia sensors interact with each other for collecting and transmitting visual data. However, managing enormous amounts of data from numerous network devices is one of the main research challenges. In this context, various IoT systems have been investigated and have provided efficient data retrieval and processing solutions. For multimedia systems, however, controlling inefficient bandwidth utilization and ensuring timely transmission of vital information are key research concerns. Moreover, to transfer multimedia traffic while balancing communication costs for the IoT system, a sustainable solution with intelligence in real-life applications is demanded. Furthermore, trust must be formed for technological advancement to occur; such an approach provides the smart communication paradigm with the incorporation of edge computing. This study proposed a model for optimizing multimedia using a combination of edge computing intelligence and authentic strategies. Mobile edges analyze network states to discover the system's status and minimize communication disruptions. Moreover, direct and indirect authentication determines the reliability of data forwarders and network stability. The proposed authentication approach minimizes the possibility of data compromise and increases trust in multimedia surveillance systems. Using simulation testing, the proposed model outperformed other comparable work in terms of byte delivery, packet overhead, packet delay, and data loss metrics.</p> </abstract>

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Kumar, Pushpender, and Narottam Chand. "Clustering in Wireless Multimedia Sensor Networks." Journal of Sensor Technology 03, no. 04 (2013): 126–32. http://dx.doi.org/10.4236/jst.2013.34019.

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Luo, Wu-sheng, Yong-ping Zhai, and Qin Lu. "Study on Wireless Multimedia Sensor Networks." Journal of Electronics & Information Technology 30, no. 6 (2011): 1511–16. http://dx.doi.org/10.3724/sp.j.1146.2007.00016.

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Gürses, Eren, and Özgür B. Akan. "Multimedia communication in wireless sensor networks." Annales Des Télécommunications 60, no. 7-8 (2005): 872–900. http://dx.doi.org/10.1007/bf03219952.

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Akyildiz, Ian, Tommaso Melodia, and Kaushik Chowdury. "Wireless multimedia sensor networks: A survey." IEEE Wireless Communications 14, no. 6 (2007): 32–39. http://dx.doi.org/10.1109/mwc.2007.4407225.

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Melodia, Tommaso, and Martin Reisslein. "Multimedia Ad Hoc and Sensor Networks." Ad Hoc Networks 9, no. 4 (2011): 479–81. http://dx.doi.org/10.1016/j.adhoc.2010.10.001.

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37

Silva, Ricardo, Jorge Sá, N. A. Silva, N. A. Joã, o. Manuel L. P. Caldeira, and Joel J. P. C. Rodrigues. "Mobile multimedia in wireless sensor networks." International Journal of Sensor Networks 11, no. 1 (2012): 3. http://dx.doi.org/10.1504/ijsnet.2012.045035.

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Bok, Kyoungsoo, Eunkyung Ryu, Junho Park, Jaijin Jung, and Jaesoo Yoo. "Multimedia congestion control in wireless sensor networks." Computer Science and Information Systems 12, no. 2 (2015): 801–21. http://dx.doi.org/10.2298/csis141009027b.

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In this paper, we propose a new congestion control scheme to minimize data loss and maintain data quality in wireless multimedia sensor networks. The proposed scheme extracts and transfers dynamic regions by considering monitoring characteristics over multimedia sensor network environments to reduce the transferred data. Furthermore, it can reduce the packet size by deleting and transferring low-priority bit data by considering multimedia data characteristics during congestion situations to minimize packet loss. To show the superiority of the proposed scheme, we compare it with the existing congestion control schemes through simulation.

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Ye, Qian, Meng Wu, and Yu Fei Wang. "A Trusted QoS Architecture for Wireless Multimedia Sensor Networks." Applied Mechanics and Materials 571-572 (June 2014): 1009–13. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1009.

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Developing trusted QoS architecture is important for wireless multimedia sensor networks considering various applications with different QoS requirements. First, the diverse multimedia traffic were analyzed and classified based on application requirements, service model, and multimedia coding method in wireless multimedia sensor networks. And the QoS requirements related to the multimedia traffic were also discussed. Then, a trust management framework was designed for cluster-based wireless multimedia sensor networks. The proposed framework can be used to next-hop selection in secure routing protocol. Finally, trusted QoS architecture was proposed. In the architecture, QoS manager observes and maintains information about QoS factors, and also responsible for QoS scheduling based on different QoS requirements. Trust Manager observes and maintains information about trust factors in WMSNs, and also responsible for trust computing based on different methods of trust factors aggregation.

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Shu, Lei, Takahiro Hara, Shojiro Nishio, Yuanfang Chen, and Manfred Hauswirth. "The new challenge: mobile multimedia sensor networks." International Journal of Multimedia Intelligence and Security 2, no. 2 (2011): 107. http://dx.doi.org/10.1504/ijmis.2011.041361.

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Akyildiz, I. F., T. Melodia, and K. R. Chowdhury. "Wireless Multimedia Sensor Networks: Applications and Testbeds." Proceedings of the IEEE 96, no. 10 (2008): 1588–605. http://dx.doi.org/10.1109/jproc.2008.928756.

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Hanafy, M. Ali. "Simulation of Wireless Multimedia Sensor Networks ( WMSN )." المجلة العربية للعلوم و نشر الأبحاث 2, no. 3 (2016): 51–66. http://dx.doi.org/10.12816/0025306.

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Dimokas, N., D. Katsaros, and Y. Manolopoulos. "Cache consistency in Wireless Multimedia Sensor Networks." Ad Hoc Networks 8, no. 2 (2010): 214–40. http://dx.doi.org/10.1016/j.adhoc.2009.08.001.

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Akyildiz, Ian F., Tommaso Melodia, and Kaushik R. Chowdhury. "A survey on wireless multimedia sensor networks." Computer Networks 51, no. 4 (2007): 921–60. http://dx.doi.org/10.1016/j.comnet.2006.10.002.

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Akan, Ozgur B., Pascal Frossard, Qian Zhang, and Nikil Jayant. "Special issue on wireless multimedia sensor networks." Computer Networks 52, no. 13 (2008): 2529–31. http://dx.doi.org/10.1016/j.comnet.2008.06.011.

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Chung, Pau-Choo, Yen-Chieh Ouyang, San-Kan Lee, Ching-Wen Yang, and Chein-I. Chang. "Broadband Multimedia Sensor Networks in Healthcare Applications." Journal of High Speed Networks 16, no. 1 (2007): 1–3. https://doi.org/10.3233/hsn-2007-303.

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Viswanath, Reddy Bontha *. Dr.V.Raghunatha Reddy. "A SURVEY ON MULTIPATH ROUTING PROTOCOLS FOR WIRELESS MULTIMEDIA SENSOR NETWORKS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 11, no. 10 (2022): 1–11. https://doi.org/10.5281/zenodo.7238634.

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Wireless Multimedia Sensor Networks have very critical applications of military, business and civilian domains. The major issue with these networks is the delivery of captured multimedia data with quality of service suitable for the application, with minimum delay, with less power consumption, and with reliability. Multipath routing is a promising solution to address all these issues. The objective the paper is to present all the literature on multipath routing protocols especially designed for multimedia transmission in Wireless Multimedia Sensor Networks. This paper also helps the researchers to identify the areas of further development to address the problem.

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Suseela, S., S. Jeevanantham, A. Kavitha, M. Saravanan, and A. E. Narayanan. "Challenging Issues for Handling Multimedia Data in Wireless Multimedia Sensor Networks." Journal of Computational and Theoretical Nanoscience 16, no. 4 (2019): 1215–20. http://dx.doi.org/10.1166/jctn.2019.8022.

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Sun, Yan, Huadong Ma, and Liang Liu. "A Self-Adaptive QoS Guarantee Scheme for Multimedia Sensor Networks." International Journal of Distributed Sensor Networks 6, no. 1 (2010): 316342. http://dx.doi.org/10.1155/2010/316342.

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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.

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Sivaram, G. S. V. S., Mohan S. Kankanhalli, and K. R. Ramakrishnan. "Design of multimedia surveillance systems." ACM Transactions on Multimedia Computing, Communications, and Applications 5, no. 3 (2009): 1–25. http://dx.doi.org/10.1145/1556134.1556140.

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