MAC Support for Wireless Multimedia Sensor Networks

Farrag, Osama; Younis, Mohamed; D'Amico, William

doi:10.1109/glocom.2009.5425242

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…A directed diffusion based greedy routing protocol (GRP) was proposed to enable delay sensitive data transmission over WSN [19]. Researchers preferred varying the contention window size (CWS) and frame size so as to strengthen MAC layer that could provide differentiated access of the prioritized multimedia data stream over WSNs [20][21][22]. A SD and multipath transmission based protocol was proposed for RTD traffic over sensor network [25].…”

Section: Related Workmentioning

confidence: 99%

Cross Layered Network Condition Aware Mobile-Wireless Multimedia Sensor Network Routing Protocol for Mission Critical Communication

Ajina

Nair²

2022

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

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The high pace emergence in wireless technologies have given rise to an immense demand towards Quality of Service (QoS) aware multimedia data transmission over mobile wireless multimedia sensor network (WMSN). Ensuring reliable communication over WMSN while fulfilling timely and optimal packet delivery over WMSN can be of great significance for emerging IoT ecosystem. With these motivations, in this paper a highly robust and efficient cross layered routing protocol named network condition aware mobile-WMSN routing protocol (NCAM-RP) has been developed. NCAM-RP introduces a proactive neighbour table management, congestion awareness, packet velocity estimation, dynamic link quality estimation (DLQE), and deadline sensitive service differentiation based multimedia traffic prioritization, and multi-constraints based best forwarding node selection mechanisms. These optimization measures have been applied on network layer, MAC layer and the physical layer of the protocol stack that eventually strengthen NCAM-RP to enable QoS-aware multimedia data transmission over WMSNs. The proposed NCAM-RP protocol intends to optimize real time mission critical (even driven) multimedia data (RTMD) transmission while ensuring best feasible resource allocation to the non-real time (NRT) data traffic over WMSNs. NCAM-RP has outperform RPAR based routing scheme in terms of higher data delivery, lower packet drops and deadline miss ratio. It signifies that NCAM-RP can ensure minimal retransmission that eventually can reduce energy consumption, delay and computational overheads. Being the mobility based WMSN protocol, NCAM-RP can play significant role in IoT ecosystem.

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Section: Related Workmentioning

confidence: 99%

Cross Layered Network Condition Aware Mobile-Wireless Multimedia Sensor Network Routing Protocol for Mission Critical Communication

Ajina

Nair²

2022

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

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“…High-priority traffic has more chances to access the medium and the latency is reduced. Some MAC protocols include additional processes that require sniffing also in a sleep state to make high-priority data has a greater chance [18], [12].…”

Section: Energy-aware Protocols For Layered Architecturementioning

confidence: 99%

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

2020

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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).

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IoT Multimedia Sensors for Energy Efficiency and Security: A Review of QoS Aware and Methods in Wireless Multimedia Sensor Networks

Matheen

Sundar

2022

Int J Wireless Inf Networks

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MAC Support for Wireless Multimedia Sensor Networks

Cited by 6 publications

References 12 publications

Cross Layered Network Condition Aware Mobile-Wireless Multimedia Sensor Network Routing Protocol for Mission Critical Communication

Cross Layered Network Condition Aware Mobile-Wireless Multimedia Sensor Network Routing Protocol for Mission Critical Communication

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

IoT Multimedia Sensors for Energy Efficiency and Security: A Review of QoS Aware and Methods in Wireless Multimedia Sensor Networks

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