Link Quality Based Opportunistic Routing Algorithm for QOS: Aware Wireless Sensor Networks Security

Bapu, B. R. Tapas; Gowd, L. C. Siddanna

doi:10.1007/s11277-017-4586-4

Cited by 14 publications

(7 citation statements)

References 21 publications

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“…But this process is slightly different in the QoS method [7]. In QoS routing protocol the route from the source node A and the destination node G the route selection will be based on minimum bandwidth [10]. The route here is from A,B,G.…”

Section: A Related Workmentioning

confidence: 99%

A Process Of Creating A Systematic Qos Routing Technique Utilizing Manet

Anitha¹,

Bapu²,

Sundararajan³

et al. 2021

JUSST

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MANET is a mobile ad-hoc network that is made of several mobile nodes that can communicate in a multi-way without any fixed or regular infrastructure. Due to its special features such as its self-organization, easy deployment it has been preferred for many military and civil applications. MANET has also gained popularity in the multimedia field. MANET has certain levels of requirements such as QoS (Quality of Service), jitter and energy, bandwidth, and end-2-end delay. MANET’s one of the basic requirements is having QoS and should have efficient routing to support other applications. In this research paper, a special Genetic Algorithm known as the GA algorithm based on routing on a Mobile Ad-hoc network is designed and termed as GAMAN. The proposed model uses a 2 QoS system for routing. The outcome of this paper showed that the GAMAN method is a significant one for QoS in MANET.

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Section: A Related Workmentioning

confidence: 99%

A Process Of Creating A Systematic Qos Routing Technique Utilizing Manet

Anitha¹,

Bapu²,

Sundararajan³

et al. 2021

JUSST

View full text Add to dashboard Cite

show abstract

“…The main aim of such sensors is observing the targeting object and sending the information toward network users for necessary actions. However, smart sensors have very limited capabilities and with time, they degrade the network performance especially in terms of energy and computational power [27][28][29]. Furthermore, due to the unpredictable behavior of sensors and some external sources, the conditions of WSNs are changed promptly.…”

Section: Related Workmentioning

confidence: 99%

EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks

et al. 2020

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In recent times, the field of wireless sensor networks (WSNs) has attained a growing popularity in observing the environment due to its dynamic factors. Sensor data are gathered and forwarded to the base station (BS) through a wireless transmission medium. The data from the BS is further distributed to end-users using the Internet for their post analysis and operations. However, all sensors except the BS have limited constraints in terms of memory, energy and computational resources that degrade the network performance concerning the network lifetime and trustworthy routing. Therefore, improving energy efficiency with reliable and secure transmissions is a valuable debate among researchers for critical applications based on low-powered sensor nodes. In addition, security plays a significant cause to achieve responsible communications among sensors due to their unfixed and variable infrastructures. Keeping in view the above-mentioned issues, this paper presents an energy-aware graph clustering and intelligent routing (EGCIR) using a supervised system for WSNs to balance the energy consumption and load distribution. Moreover, a secure and efficient key distribution in a hierarchy-based mechanism is adopted by the proposed solution to improve the network efficacy in terms of routes and links integrity. The experimental results demonstrated that the EGCIR protocol enhances the network throughput by an average of 14%, packet drop ratio by an average of 50%, energy consumption by an average of 13%, data latency by an average of 30.2% and data breaches by an average of 37.5% than other state-of-the-art protocols.

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“…In [18], an Optimized QoS-based Clustering with Multipath Routing Protocol (OQoS-CMRP) was proposed for WSNs to reduce the energy consumption in sink coverage area by applying the Modified Particle Swarm Optimization (PSO)-based clustering algorithm. El Hammouti et al [19] proposed a novel link quality based opportunistic routing method, where its algorithm selected the relay nodes based on OR theory to enhance the lifetime of whole network and feasibly create the ideal transmission distance for energy saving. In [20], multi-hop gateway node was implemented with both protocol to achieve maximum lifetime and energy efficiency, whereby the optimal algorithm respectively computed least possible adequate dominating sets and constantly preserved QoS requirements across iterations.…”

Section: Related Workmentioning

confidence: 99%

“…In phase 1 (lines 1-19), node v firstly initializes some variables with certain values (lines 1-2). For each entry entry in node v's routing table, ETX and ETT are calculated by Equation (18) and Equation (19), respectively (lines 5-6). Then node v calculates its path ETT value P ett (v, w) by adding the ETT v,w value with the path ETT value P ett (w, k) of its neighbor w, where P ett (w, k) can be obtained from the state exchange using beacon and saved in the routing table (line 7).…”

Section: Qos Aware Routing Metrics and Algorithmmentioning

confidence: 99%

QoS Aware Routing Protocol Through Cross-layer Approach in Asynchronous Duty-Cycled WSNs

Shi

et al. 2019

IEEE Access

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The growing usage of wireless sensor networks (WSNs) in different scenarios makes the Quality-of-Service (QoS) a paramount issue in WSN-based applications. We are especially interested in the QoS aware of asynchronous duty-cycled WSNs in the light of designing routing protocol, whereby waiting for latency and malicious packet dropping are critical to the network performance. We first propose an optimized detection mechanism for malicious packet dropping attack. Then, based on sleep latency and queue length, a method for congestion degree measurement is proposed under asynchronous duty-cycled low power listening (LPL) modes. Last but not least, we introduce related QoS aware metrics for the design of QoS aware routing protocol, which can enhance the QoS performance in throughput, delay, and packet losses (TDL). Experimental results demonstrate that the QoS performance of our TDL-based routing protocol is better than those of the CTP-Watchdog protocol and the CTP-Optimized protocol, especially in terms of higher-throughput, lower-delay, and less-loss rate. By optimized threshold, the detection accuracy of our detection mechanism is improved much more than that of the traditional watchdog technology. Furthermore, we evaluate that the preferred optimization factor can help to make a tradeoff between the false negative rate and the false positive rate. Our TDL-based routing protocol is implemented under the component-based architecture by a cross-layer approach, which provides a practicable solution for the design of QoS-aware routing protocol in asynchronous duty-cycled WSNs.

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Link Quality Based Opportunistic Routing Algorithm for QOS: Aware Wireless Sensor Networks Security

Cited by 14 publications

References 21 publications

A Process Of Creating A Systematic Qos Routing Technique Utilizing Manet

A Process Of Creating A Systematic Qos Routing Technique Utilizing Manet

EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks

QoS Aware Routing Protocol Through Cross-layer Approach in Asynchronous Duty-Cycled WSNs

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