Cross-Layer and Reliable Opportunistic Routing Algorithm for Mobile Ad Hoc Networks

Li, Ning; Martínez-Ortega, José-Fernán; Díaz, Vicente Hernández

doi:10.1109/jsen.2018.2838023

Cited by 28 publications

(26 citation statements)

References 55 publications

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“…It has been observed that many of the cross-layer approaches rely on fuzzy logic. The authors in [51] proposed a fuzzy logic-based cross-layer routing algorithm for mobile ad hoc networks, while the research in [49] proposed a fuzzy logic-based cross-layer routing algorithm for WSNs.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Hamzah

Shurman

Al-Jarrah

et al. 2019

Sensors

109

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In wireless sensor networks, the energy source is limited to the capacity of the sensor node’s battery. Clustering in WSN can help with reducing energy consumption because transmission energy is related to the distance between sender and receiver. In this paper, we propose a fuzzy logic model for cluster head election. The proposed model uses five descriptors to determine the opportunity for each node to become a CH. These descriptors are: residual energy, location suitability, density, compacting, and distance from the base station. We use this fuzzy logic model in proposing the Fuzzy Logic-based Energy-Efficient Clustering for WSN based on minimum separation Distance enforcement between CHs (FL-EEC/D). Furthermore, we adopt the Gini index to measure the clustering algorithms’ energy efficiency in terms of their ability to balance the distribution of energy through WSN sensor nodes. We compare the proposed technique FL-EEC/D with a fuzzy logic-based CH election approach, a k-means based clustering technique, and LEACH. Simulation results show enhancements in energy efficiency in terms of network lifetime and energy consumption balancing between sensor nodes for different network sizes and topologies. Results show an average improvement in terms of first node dead and half nodes dead.

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Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Hamzah

Shurman

Al-Jarrah

et al. 2019

Sensors

109

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“…Q. Xu et al [33] developed a routing algorithm on the grounds of Epidemic information dissemination, which defines the social characteristics of mobile users as pre-immunity and immunity, establishing an analytical system by ordinary different formulas to mimic Epidemic information transmission in OSNs. In addition, Li N et al [34] proposed a cross-layer and reliable routing protocol that utilizes fuzzy inference logic and network topology control strategies to enhance the efficiency and the reliability of message routing and forwarding in mobile ad hoc networks.…”

Section: The Proposed Profile-aware Routing Algorithms For Opportunismentioning

confidence: 99%

An Adaptive Routing-Forwarding Control Scheme Based on an Intelligent Fuzzy Decision-Making System for Opportunistic Social Networks

et al. 2019

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Routing selection in opportunistic social networks is a complex and challenging issue due to intermittent communication connections among mobile devices and dynamic network topologies. The structural characteristics of opportunistic social networks indicate that the social attributes of mobile nodes play a significant role on data dissemination. To this end, in this paper, we propose an adaptive routing-forwarding control scheme (FPRDM) based on an intelligent fuzzy decision-making system. On the foundation of the conception of fuzzy inference logic, two techniques are used in the proposed routing algorithm. Information fusion of social characteristics of message users and node identification are implemented based on the fuzzy recognition strategy, and the fuzzy decision-making mechanism is applied to control message replication and optimize data transmission. Simulation results demonstrate that, in the best case, the proposed scheme presents an average delivery ratio of 0.8, reduces the average end-to-end delay by nearly 45% as compared with the Epidemic routing protocol, and lowers the network overhead by about 75% as compared to the Spray and Wait routing algorithm.

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“…For the efficient multimedia transmission of mobile multimedia Internet of Things, the literature [35] proposed a cross‐layer method and geographical location non‐beacon opportunity routing protocol LinGo, which can reduce network overhead and maximise user experience. In [36], a cross‐layer reliable opportunistic routing algorithm CBRT for mobile Ad Hoc networks is proposed. The improved efficiency fuzzy logic and somatosensory adjustment heuristic topology control are introduced into the opportunity routing algorithm, which improves the efficiency and reliability of the opportunity routing algorithm.…”

Section: Related Workmentioning

confidence: 99%

QoS adaptive and energy aware cross‐layer opportunistic routing protocol in wireless sensor networks

Jiang

Su³

et al. 2019

IET Communications

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Cross-Layer and Reliable Opportunistic Routing Algorithm for Mobile Ad Hoc Networks

Cited by 28 publications

References 55 publications

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

An Adaptive Routing-Forwarding Control Scheme Based on an Intelligent Fuzzy Decision-Making System for Opportunistic Social Networks

QoS adaptive and energy aware cross‐layer opportunistic routing protocol in wireless sensor networks

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