An adaptive cross-layer error control protocol for wireless multimedia sensor networks

Sarvi, Batoul; Rabiee, Hamid R.; Mizanian, Kiarash

doi:10.1016/j.adhoc.2016.12.008

Cited by 26 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An error control protocol with an adaptive cross‐layer for WSNs was demonstrated by Sarvi et al 21 This approach utilizes forward error correction (FEC) algorithm to improve the system performance but the system remains unstable in this approach. Houaidia et al 22 developed two different types of mitigation routing in WSNs, namely, intraflow mitigation routing and interflow mitigation routing to improve the throughput value and scalability rate.…”

Section: Related Literal Workmentioning

confidence: 99%

Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks

Gowda

Madheswari²

2020

Int J Communication

View full text Add to dashboard Cite

Summary Nowadays, there occurs a great demand for effective transmission of video. It is necessary to design an efficient transmission approach to transmit a huge amount of data in wireless multimedia sensor networks (WMSNs). But the routing based on wireless multimedia sensor networks is not much popular like other wireless sensor networks. Due to its peculiar features, it finds few troubles in directly applying the resolutions into the WMSNs. The work outlined in this paper is aimed at minimizing the delay and expected transmission count (ETX) cost of the QoS requirements. Moreover, this paper also proposes a hybrid salp swarm–firefly (HSSFF) approach which is the integration of two algorithms, namely, salp swarm and firefly optimization algorithms. The HSSFF approach employs in obtaining an optimal routing path with minimum end‐to‐end delay and less ETX value. Here, the fitness function for Simulink evaluation is twofold. We also presented the simulation results for two scenarios, and the comparative analysis is carried out to determine the best optimal routing path. Therefore, the simulation results describe that the HSSFF approach provides better performance on various nine test functions.

show abstract

Section: Related Literal Workmentioning

confidence: 99%

Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks

Gowda

Madheswari²

2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…An efficient cross-layer erasure coding technique in [59] determines the redundancy rate of erasure coding. It keeps trying to adapt the channel condition with the traffic load in the application layer.…”

Section: Error Controlmentioning

confidence: 99%

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

Parween¹,

Hussain²

2020

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

View full text Add to dashboard Cite

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.

show abstract

“…Retransmission and redundancy are two typical techniques used in WMSNs to achieve reliability [ 12 ]. Most of existing works conventionally focus on retransmission-based reliability [ 13 ].…”

Section: Related Workmentioning

confidence: 99%

Distributed Systematic Network Coding for Reliable Content Uploading in Wireless Multimedia Sensor Networks

Chau

Shin

Jeong

2018

Sensors

View full text Add to dashboard Cite

Recently, the wireless sensor network paradigm is shifting toward research aimed at enabling the robust delivery of multimedia content. A challenge is to deliver multimedia content with predefined levels of Quality of Service (QoS) under resource constraints such as bandwidth, energy, and delay. In this paper, we propose a distributed systematic network coding (DSNC) scheme for reliable multimedia content uploading over wireless multimedia sensor networks, in which a large number of multimedia sensor nodes upload their own content to a sink through a cluster head node. The design objective is to increase the reliability and bandwidth-efficient utilization in uploading with low decoding complexity. The proposed scheme consists of two phases: in the first phase, each sensor node distributedly encodes the content into systematic network coding packets and transmits them to the cluster head; then in the second phase, the cluster head encodes all successfully decoded incoming packets from multiple sensor nodes into innovative systematic network coding packets and transmits them to the sink. A bandwidth-efficient and channel-aware error control algorithm is proposed to enhance the bandwidth-efficient utilization by dynamically determining the optimal number of innovative coded packets. For performance analysis and evaluation, we firstly derive the closed-form equations of decoding probability to validate the effectiveness of the proposed uploading scheme. Furthermore, we perform various simulations along with a discussion in terms of three performance metrics: decoding probability, redundancy, and image quality measurement. The analytical and experimental results demonstrate that the performance of our proposed DSNC outperforms the existing uploading schemes.

show abstract

An adaptive cross-layer error control protocol for wireless multimedia sensor networks

Cited by 26 publications

References 14 publications

Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks

Hybrid salp swarm–firefly algorithm‐based routing protocol in wireless multimedia sensor networks

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

Distributed Systematic Network Coding for Reliable Content Uploading in Wireless Multimedia Sensor Networks

Contact Info

Product

Resources

About