A Cross-Layer Channel Access and Routing Protocol for Medical-Grade QoS Support in Wireless Sensor Networks

Kim, Young-Duk; Cho, Kookrae; Cho, Hui-Sup; Kim, Dongkyun

doi:10.1007/s11277-013-1507-z

Cited by 10 publications

(7 citation statements)

References 24 publications

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“…In [27], Kim et al presented a QoS aware energy efficient priority based receiver-initiated asynchronous MAC protocol for energy harvesting WSNs. In [28], Kim et al proposed a new reliable protocol termed Cross-layer Channel Access and Routing (CCAR), which simultaneously supported both MAC and routing operations for medical-grade QoS provisions. In addition, CCAR introduced an effective route maintenance scheme to avoid link failures in bottlenecked intermediate nodes, which prevented unnecessary packet drops and route rediscovery evocations.…”

Section: Related Workmentioning

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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Section: Related Workmentioning

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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“…AODVLP can be further improved by limiting overhead of unnecessary control messages To solve the above discussed problems in the table 1, [19][20][21][22][23][24][25], we have proposed a novel approach based on hybrid technique. Like [29][30][31] our work is also multi-objective i.e.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Direction-Based PDORP Routing Protocol for WSN

Brar

Rani

Chopra³

et al. 2016

IEEE Access

128

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Energy consumption is one of the constraints in Wireless Sensor Networks (WSNs). The routing protocols are the hot areas to address quality-of-service (QoS) related issues viz. Energy consumption, network lifetime, network scalability and packet overhead. The key issue in WSN is that these networks suffer from the packet overhead, which is the root cause of more energy consumption and degrade the QoS in sensor networks. In WSN, there are several routing protocols which are used to enhance the performance of the network. Out of those protocols, Dynamic Source Routing (DSR) protocol is more suitable in terms of small energy density, but sometimes when the mode of a node changes from active to sleep, the efficiency decreases as the data packets needs to wait at the initial point where the packet has been sent and this increases the waiting time and end to end delay of the packets which leads to increase in energy consumption. Our problem is to identify the dead nodes and to choose another suitable path so that the data transmission becomes smoother and less energy gets conserved. In order to resolve these issues, we propose directional transmission based energy aware routing protocol named as PDORP. The proposed protocol PDORP has the characteristics of both Power Efficient Gathering Sensor Information System (PEGASIS) and DSR routing protocols.In addition, hybridization of Genetic Algorithm (GA) and Bacterial Foraging Optimization (BFO) is applied to proposed routing protocol to identify energy efficient optimal paths. The performance analysis, comparison through a hybridization approach of the proposed routing protocol gives better result comprising less bit error rate, less delay, less energy consumption and better throughput which leads to better QoS and prolong the lifetime of the network. Moreover, the Computation Model is adopted to evaluate and compare the performance of the both routing protocols using soft computing techniques.

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“…CCAR introduces an effective route maintenance scheme to avoid link failures in bottlenecked intermediate nodes, which prevents unnecessary packet drops and route rediscovery evocations. Finally, through both simulation studies and real test-bed experiments, we evaluate the performance of CCAR by comparing it with other conventional protocols, demonstrating that the proposed protocol can more efficiently support medicalgrade QoS packets, especially when the network is heavily loaded [13].…”

Section: Related Workmentioning

confidence: 99%

Effective Energy Path Based PDORP Routing Protocol for WSN

2017

IJSR

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Energy consumption is the major factor in the wireless sensor network in today's era, by calculating the energy consumption any one can got to know the relevancy of the WSN. Routing protocol plays important roles to measure the quality-of-service (QoS).Key parameter in WSN for creating the overhead in the networks are many more out of these some major and some are minor parameter, minor parameter includes Energy consumption, network lifetime, network scalability and one the major parameter includes the Packet overhead. Packet overhead is the root cause of more energy consumption and reduce the QoS in sensor networks. In WSN some the routing protocol available those make sense to increase the performance in the network are Dynamic Source Routing (DSR) but the problem with such protocol is that when we move toward the big energy density it doesn't make any sense as there need to change the mode from active to sleep and vice versa. In such scenarios efficiency decreases as the data packets needs to wait at the initial point where the packet has been sent and this increases the waiting time and end to end delay of the packets which leads to increase in energy consumption. Now here need to identify that we have to find the dead nodes in between and find the new routing path so that energy consumption is get decrees and identify the good path. For such handling such scenarios we propose directional transmission based energy responsive routing protocol named as PDORP. PDORP have some best characteristics to make the routing smoother are Power Efficient Gathering Sensor Information System (PEGASIS) and DSR routing protocols. In addition to above routing protocol the genetic algorithm and Bacterial Foraging Optimization (BFO) formally used for creating and reinitiating the cluster based WSN in which it optimize the network while network establishment. The performance analysis is get calculated through the hybrid approach (soft computing techniques) of above routing protocol and off course it will gives us better result comprising less bit error rate, less delay, less energy Consumption and better quantity which clues to better QoS and extend the lifetime of the network.

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A Cross-Layer Channel Access and Routing Protocol for Medical-Grade QoS Support in Wireless Sensor Networks

Cited by 10 publications

References 24 publications

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

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

Energy Efficient Direction-Based PDORP Routing Protocol for WSN

Effective Energy Path Based PDORP Routing Protocol for WSN

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