A Comparative Analysis of Reliable and Congestion-Aware Transport Layer Protocols for Wireless Sensor Networks

Sharma, Bhisham; Aseri, Trilok Chand

doi:10.5402/2012/104057

Cited by 21 publications

(11 citation statements)

References 41 publications

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“…Whereas event reliability deals with reporting an event to the BS in an efficient manner, packet reliability is concerned with successful transmission of all packets or at certain success ratio. Transport layer protocols applied to WSNs can handle the communications between the sink node and sensor nodes in upstream (sensor-to-sink) or downstream (sink-to-sensor) direction (Sharma & Aseri, 2012). Although TCP and UDP are popular transport layer protocols for the Internet, neither may be good for WSN as there are no interaction between TCP or UDP with lower layer protocols such as routing and MAC algorithms (Wang et al, 2005) (Sohraby et al, 2007).…”

Section: Congestion and Packet Dropping In Wsnsmentioning

confidence: 99%

“…There is need to provide packet reliability in WSN by ensuring successful transmission of all packets or at certain success ratio. To optimize the much needed system performance, transport layer protocols are used to decrease congestion and reduce packet loss so as to provide fairness in bandwidth allocation and to guarantee end-to-end reliability (Sharma &Aseri, 2012). The motivation behind congestion control is to provide high data rate transmission with high efficiency and reliability.…”

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confidence: 99%

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Performability of Retransmission of Loss Packets in Wireless Sensor Networks

Umoren¹,

Asuquo²,

Gilean³

et al. 2019

CIS

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Latest progress in wireless communication technology has enabled the development of low-cost sensor networks with major concern on quality of service (QoS) provisioning. Wireless sensor networks (WSNs) can be adopted in various application domains but each use is likely to pose peculiar technical issues. Basically, we demonstrate that congestion, packet loss and delay have strong influence on the performance of WSNs. In order to implement a realistic sensor network policy to resolve the problem of data delay and avoidance of collisions that lead to packet losses, we develop a system that guarantees QoS in WSNs using Fuzzy Logic Controller (FLC) for sensitivity analysis of the effect of adaptive forward error correction (AFEC). The AFEC approach improves the throughput by dynamically tuning FEC subject to the nature of wireless channel loss thereby optimizing throughput, sensor power utilization, while minimizing traffic retransmission, bit error rate (BER), and energy consumption. Basically, parameters such as packet delivery ratio, packet loss, delay, error rate, and throughput are appraised. The system has a spread procedure which is able to schedule the transmission of the nodes in order to have a data flow that converges from the furthest nodes toward the fusion centre. The key benefit of the scenario showed that, after extensive simulation using realistic field data, the procedure permits a practical approach to obtaining optimal solution to loss packets retransmission problem in WSNs giving a strong improvement on QoS provisioning.

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Section: Congestion and Packet Dropping In Wsnsmentioning

confidence: 99%

mentioning

confidence: 99%

Performability of Retransmission of Loss Packets in Wireless Sensor Networks

Umoren¹,

Asuquo²,

Gilean³

et al. 2019

CIS

View full text Add to dashboard Cite

show abstract

“…The various reasons for congestion [2] are Many-to-one nature, Buffer overflow, etc. Many-to-one nature happens when multiple source nodes send packet to the same receiving node.…”

Section: Introductionmentioning

confidence: 99%

Congestion detection in Wireless sensor network using neural network

Singhal

Yadav

2014

International Conference for Convergence for Technology-2014

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In Wireless sensor network (WSN), sink nodes are bottleneck of network due to congestion. Congestion deteriorates the overall performance of the system. So congestion detection in a WSN is very vital issue in the present scenario. In this paper, artificial neural network based congestion detection algorithm is developed. The neural network based congestion detection system uses number of participants, buffer occupancy, and traffic rate as input parameters and gives the congestion level as output. A number of NS-2 and MATLAB simulation results show that the proposed scheme accurately detects the congestion level and represents the state of congestion in the WSN.

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“…The transport layer is designed to address the following services: reliability, fair bandwidth allocation, congestion control and energy efficiency [36]. The Transmission Control Protocol (TCP) which implements congestion control and reliability in the Internet cannot be used in WMSNs.…”

Section: Figure 26: Multi-tier Architecturementioning

confidence: 99%

A Priority Rate-Based Routing Protocol for Wireless Multimedia Sensor Networks

Tshiningayamwe

Lusilao-Zodi

Dlodlo

2015

Advances in Intelligent Systems and Computing

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The development of affordable hardware has made it possible to transmit multimedia data over a wireless medium using sensor devices. Deployed sensors span larger geographical areas, generating different kinds of traffic that need to be communicated either in real-time or non-realtime mode to the sink. The tiny sized design of sensor nodes has made them even more attractive in various environments as they can be left unattended for longer periods.Since sensor nodes are equipped with limited resources, newer energy-efficient protocols and architectures are required in order to meet requirements within their limited capabilities when dealing with multimedia data. This is because multimedia applications are characterized by strict quality of service requirements that distinctively differentiate them from other data types during transmission. However, the large volume of data produced by the sensor nodes can easily cause traffic congestion making it difficult to meet these requirements. Congestion has negative impacts on the data transmitted as well as the sensor network at large. Failure to control congestion will affect the quality of multimedia data received at the sink and further shorten the system lifetime.Next generation wireless sensor networks are predicted to deploy a different model where service is allocated to multimedia while bearing congestion in mind. Applying traditional wireless sensor routing algorithms to wireless multimedia sensor networks may lead to high delay and poor visual quality for multimedia applications.In this research, a Priority Rate-Based Routing Protocol (PRRP) that assigns priorities to traffic depending on their service requirements is proposed. PRRP detects congestion by using adaptive random early detection (A-RED) and a priority rate-based adjustment technique to control congestion.We study the performance of our proposed multi-path routing algorithm for real-time traffic when mixed with three non real-time traffic each with a different priority: high, medium or low. Simulation results show that the proposed algorithm performs better when compared to two existing algorithms, PCCP and PBRC-SD, in terms of queueing delay, packet loss and throughput.vi

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A Comparative Analysis of Reliable and Congestion-Aware Transport Layer Protocols for Wireless Sensor Networks

Cited by 21 publications

References 41 publications

Performability of Retransmission of Loss Packets in Wireless Sensor Networks

Performability of Retransmission of Loss Packets in Wireless Sensor Networks

Congestion detection in Wireless sensor network using neural network

A Priority Rate-Based Routing Protocol for Wireless Multimedia Sensor Networks

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