Maximizing QoS in Heterogeneous Wireless Sensor Networks Using Game Theory and Learning Algorithms

Hammouti, Hajar El; Echabbi, Loubna; Maissa, Yann Ben

doi:10.1007/978-981-287-990-5_18

Cited by 1 publication

(3 citation statements)

References 14 publications

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“…On the basis of predictability of TDMA schedule, the authors in [16] proposed a self-stabilizing hopconstrained energy-efficient (SHE) protocol for constructing minimum energy networks for hard real-time routing, which helped to meet the QoS requirements while prolonging the network lifetime. In [17], El Hammouti et al presented a game theory based approach to maximize quality of service of the aggregate frame success rate, while optimizing power allocation. In [9], Deepa and Suguna proposed a routing protocol RPAR (Greedy Realtime Power Aware Routing) that was adaptive to the QoS optimization in terms of end-to-end delay, packets delivery ratio and energy conservation.…”

Section: Related Workmentioning

confidence: 99%

“…For the rest of the neighbor nodes, such as node w, its path ETT value P ett (v, w) is compared with that of minimum variable P min ett (line 15). If P ett (v, w) is less than P min ett , P min ett will be updated and node w is temporarily recognized as the best candidate (lines [16][17][18]. With the execution of this phase, node v can select a reasonable candidate parent node based on a comprehensive consideration of the expected transmission cost and the expected transmission delay under asynchronous duty-cycled LPL modes.…”

Section: Qos Aware Routing Metrics and Algorithmmentioning

confidence: 99%

“…In our prior work [30], under the component-based architecture [31], we designed and implemented a delayconstrained and energy-balanced multi-hop broadcast protocol called DCEB in low duty-cycled WSNs. Based on this architecture adopted cross-layer approach, as shown in Figure 7 (17). Both ETT and CD are subsequently collated and fed to the Routing Engine component for reasonable parent nodes selection.…”

Section: E Cross-layer Qos Aware Architecturementioning

confidence: 99%

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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%

Section: Qos Aware Routing Metrics and Algorithmmentioning

confidence: 99%