QoSMOS: cross-layer QoS architecture for wireless multimedia sensor networks

Demir, Alper Kamil; Demiray, H. Engin; Baydere, Şebnem

doi:10.1007/s11276-013-0628-3

Cited by 16 publications

(5 citation statements)

References 27 publications

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“…In [23], Demir AK et al proposed cross-layer approach using the network and MAC layer to improve the delay, reliability and throughput in WMSNs. In this approach, each node has to know the quality level of the next hop to select the best route to the sink.…”

Section: End-to-end Delaymentioning

confidence: 99%

Quality of Service in Wireless Sensor Networks

Mohammed¹,

Shamiry²,

Sharaf³

et al. 2020

IJCA

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Wireless Sensor Network (WSN) is a widespread network used in many daily life activities such as environment, health, and nuclear radiation. Since, WSNs are networks that consists of sensors which are distributed in an ad hoc manner. Therefore, there are many important issues related to WSN such as energy consumption, end-to-end delay, and packets delivery ratio. This study aims to review the most recent works published in the field of quality of service (QoS) metrics in WSNs. It focuses on energy consumption, end-to-end delay and packets delivery ratio metrics. It will be helpful for researchers to know some of the trends and recent research in field of networking, as well as to learn some future works in this area.

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Section: End-to-end Delaymentioning

confidence: 99%

Quality of Service in Wireless Sensor Networks

Mohammed¹,

Shamiry²,

Sharaf³

et al. 2020

IJCA

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“…The authors discussed a cross-layer technique in [44] are IQOS that optimizes the quality of service factors of the sensor nodes at the bottom three layers of the wireless protocol stack because QOS factors exist in these layers. Another cross-layer technique presented in [45] is XLCP (cross-layer-communication protocol) based on QOMOS architecture. It is capable to offer soft and scalable service differentiation in QOMOS architecture.…”

Section: Quality Of Servicementioning

confidence: 99%

A Review on Cross-Layer Design Approach in WSN by Different Techniques

Parween¹,

Hussain²

2020

Adv. sci. technol. eng. syst. j.

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Wireless Sensor Networks (WSN) include a large number of sensor nodes that are connected to each other with the limitations in energy sources, battery life, memory, mobility and computational capacity. Since the traditional layered architecture was appropriate only for the wired network. It works within a strict boundary that leads to more energy usage as well as more communication traffic. It also impacts on the overall network lifespan and performance of the system. Energy efficiency and network lifespan are the primary concern of WSN due to the fact that each node in the network operates with extremely limited energy. Recent studies have shown that the Open System Interconnection (OSI) model cannot meet the demands of the wireless sensor network. To overcome such limitations, the cross-layer design has been introduced. It allows direct interactions between protocol at non-adjacent layers. In this paper, we present different types of cross-layer design techniques in Wireless Sensor Network (WSN) and discusses several cross-layer proposals given by researchers. At the end, the paper highlights some challenges faced in implementing CLD in Wireless Sensor Networks.

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“…Quality of service (QoS) : Demir et al proposed a cross‐layer architecture (XLCP) by combining network and link layers into a single communication module to preserve QoS in real‐time multimedia data. Youssif et al introduced an adaptive cross‐layer framework (ACWSN) by combining application layer with MAC and radio layers to transmit huge size data like video without compromising with quality.…”

Section: Related Workmentioning

confidence: 99%

XMSN: An efficient cross‐layer protocol for mixed wireless sensor networks

Maitra

Roy

2019

Int J Communication

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The application of wireless sensor networks (WSNs) technology in monitoring systems is demanding more efficient services to fulfill the requirements of the monitoring task. For this purpose, the simultaneous presence of features such as different communication mediums (air and water) used by nodes and various sizes of data generated by heterogeneous nodes are the key obstacles to build a communication protocol, which can ensure the reliable data delivery. This work terms such WSNs as mixed wireless sensor networks (MWSNs) which contains the aforementioned features. In this paper, we introduce a new cross-layer protocol for mixed wireless sensor network (XMSN) which can adapt these features. The proposed cross layer protocol XMSN for such mixed environment is implemented and analyzed extensively in Castalia simulator. The performance of XMSN is compared with composition of well-known protocols, namely, CTP plus BoX-MAC-2. The result shows that XMSN has better efficiency in terms of end-to-end delay, energy consumption, and goodput than that of CTP plus BoX-MAC-2 protocol. KEYWORDS cross-layer, delay, energy consumption, mixed wireless sensor network (MWSN), sensor Int J Commun Syst. 2019;32:e3946. wileyonlinelibrary.com/journal/dacGenerally, the energy consumption rate for sensors and end-to-end delay vary greatly based on the protocols used in the different layers like media access control (MAC) and routing. MAC layer directly accesses the physical layer and controls the radio; and network layer finds an energy-efficient path by selecting the suitable parent after knowing neighbor nodes' network performance. Thus, energy-efficient protocols envisioned to have longer network lifetime are heavily dependent on MAC layer and network layer. Most traditional MAC 7-11 and routing protocols 12-16 for WSN are based on the single layer approach. The existing MAC and routing protocols provide a certain level of efficiency in terms of energy, throughput, and end-to-end delay. However, in such individual layer approaches, overall optimization is not possible. On the other hand, cross-layer protocols provide better energy efficiency and network performance in terms of high throughput, low latency, and better quality of service (QoS) support. Since, cross-layer protocol breaks the virtual boundary between (or among) two (or more) layers by exchanging information, 17 it becomes easier to manage the resources like energy and bandwidth. The network performance of future WSN-based applications will be enhanced by cross-layer design between radio, MAC, network, and higher layer protocols. In this section, we summarize some existing works on cross-layer protocols for WSNs from the perspectives of performance metrics like energy efficiency, delay, and QoS.

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QoSMOS: cross-layer QoS architecture for wireless multimedia sensor networks

Cited by 16 publications

References 27 publications

Quality of Service in Wireless Sensor Networks

Quality of Service in Wireless Sensor Networks

A Review on Cross-Layer Design Approach in WSN by Different Techniques

XMSN: An efficient cross‐layer protocol for mixed wireless sensor networks

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