Multi-level cross-layer protocol for end-to-end delay provisioning in wireless multimedia sensor networks

Yousefi, Hossein; Kavian, Yousef S.; Mahmoudi, Alimorad

doi:10.1631/fitee.1700855

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…Routing protocols serve as the specifications enabling routers to communicate, allowing them to exchange information needed for selecting routes and nodes within a network [4], [5], [6], [7]. In this context, the sensor nodes estimate the location information by cooperating with the neighboring nodes, each node storing its unique information.…”

Section: Introductionmentioning

confidence: 99%

A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks

Ahmed,

Abed Al-Asadi

2024

TEM Journal

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This study principally addresses the challenges associated with streaming videos in wireless Mobile ad hoc networks (MANETs), primarily constrained by wireless channels and node mobility. This study proposes a novel routing protocol incorporating a feedback mechanism and cross-layer architecture, supported by three key enhancements. First, it incorporates a route recovery strategy for detecting link failures and re-establishing connections based on predefined Quality of Service (QoS) metrics. Second, a novel algorithm estimates the available bandwidth, enabling dynamic adaptation of bitrate at the application layer concerning the source video. This novel rate-adaptive approach utilizes a scalable layered structure of the video coding, thereby removing layers that the network cannot efficiently support due to bandwidth limitations. Third, a gateway discovery procedure enhances the connectivity among MANETs and other infrastructure networks. This method employs available bandwidth as a parameter while selecting appropriate gateways and dynamically adjusts operational parameters like proactive area size and advertisement message frequency. The performances of the proposed Enhanced OLSR (E-OLSR) protocol are compared with the state-of-the-art routing procedures such as Adhoc on-demand distance vector (AODV), destination sequenced distance vector (DSDV), and optimized link state routing (OLSR), in terms of metrics like packet delivery ratio (PDR), end-to-end (E2E) delay, throughput, as well as energy consumption. The simulation results demonstrated notable improvements, including reduced packet delay, fewer dropped packets, and decreased link failures, indicating effective utilization of available bandwidth. The overall performance of the proposed E-OLSR protocol exceeds other traditional protocols and its security is enhanced through the integration of Blockchain Technology.

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Section: Introductionmentioning

confidence: 99%

A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks

Ahmed,

Abed Al-Asadi

2024

TEM Journal

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“…In order to perform the confused activities, the camera sensors are present in the second level; hence it would have all the activities. In the central node, the information handling and correspondence among every level were performed [20].…”

Section: Introductionmentioning

confidence: 99%

Cooperative routing in wireless multimedia sensor network with deep learning based decision making system

Nagalingayya¹,

Mathpati²

2021

IJARLIT

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Wireless Multimedia Sensor Networks (WMSNs) provide great attention on various attractive applications and their scientific researches due to their potential impact. For the past few years, the most active area related to the research field is routing in WMSNs. Moreover, the multimedia data is transmitted based on the routing protocol for determining the efficient resources and stable path, and also provides different levels of Quality-of-Experience (QoE)/Quality-of-Service (QoS) assurance. Still, it is the difficult aspect based on the complicated operations of multimedia applications, dynamic changes of network condition and limited network resources. This paper intends to introduce a Deep Belief Network (DBN) oriented decision making system to select the suitable cooperative nodes. Moreover, constraints like (i) Tri-level energy consumption of nodes-Level 1: Low energy level for text information, Level 2: Medium energy level for text, image and video information, Level 3: High energy level for high definition pictures (ii) Reliability, and (iii) Delay are examined while transmitting the multimedia information in the network. To make the precise decision, it is planned to tune the optimal weight of DBN by a new hybrid Dragon Integrated Firefly (DIFF) algorithm that combines the concept of Firefly Optimization (FF) and Dragonfly Optimization (DA) algorithm. At last the performance of the adopted scheme is computed over other traditional schemes with respect to alive nodes, delay, residual energy, network lifetime and reliability analysis.

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Multi-level cross-layer protocol for end-to-end delay provisioning in wireless multimedia sensor networks

Cited by 2 publications

References 34 publications

A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks

A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks

Cooperative routing in wireless multimedia sensor network with deep learning based decision making system

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