An adaptive vehicular epidemic routing method based on attractor selection model

Zhou, Jianshan; Wang, Yunpeng; Zhang, Guohui; Xia, Haiying

doi:10.1016/j.adhoc.2015.05.018

Cited by 41 publications

(26 citation statements)

References 33 publications

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“…However, VANET is confronted with many great challenges due to fast changing network topology. It is an important problem to study an efficient and reliable solution for packets dissemination in a VANET [2]. Some application, such as emergency messages in a MANET, as well as traffic accident and traffic congestion in the VANET, can generate a piece of floating information.…”

Section: Mobile Ad Hocmentioning

confidence: 99%

Neighbor Trigger for Hovering Information

Shuai

2018

J. Phys.: Conf. Ser.

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Abstract. Hovering information is generated by specific area in a mobile ad hoc network(MANET) to be attached to the anchor area for some time. MANET is a self-organizing and dynamic topology network without infrastructure. Some nodes maybe not receive the hovering information due to possible partitioning of the network in some areas with sparse nodes, on the other hand broadcast packets lead to broadcast storm problem and high latency in high traffic density network. To improve the reachability and deduce the number of broadcast of hovering information, the adaptive probabilistic flooding scheme is proposed by Andreas Xeros. But the calculation of probability p is too complex. So, this paper proposes a new adaptive probability flooding scheme based on random graph and neighbour trigger (algorithm of neighbour trigger, ANT) for floating the information in the hovering area. When a new node enters the range of hovered node and become a neighbour of the node that has received the hovering information, the informed node checks its neighbour list to decide whether to trigger the broadcast program with probability p. I analyse the performance of the proposed algorithm. The results show that the ANT outperforms other candidate hovering information algorithms in terms of the number of broadcast messages.

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Section: Mobile Ad Hocmentioning

confidence: 99%

Neighbor Trigger for Hovering Information

Shuai

2018

J. Phys.: Conf. Ser.

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“…In [15], the EASM has been applied to design an adaive and robust epidemic-based routing protocol. According to the previous study, when the activity α is at a low-level, implying that current routing path does not adapt to the current network environment, the selection probabilities of candidate nodes fluctuate in the same magnitude.…”

Section: Related Workmentioning

confidence: 99%

“…If the routing activity is monitored at a lower level, which means the current routing path is not adaptable to the network environment, CASM will search for another path randomly until the current routing activity rises to a sufficiently high level. As shown in some existing works such as [15]- [19], the attractor selection model provides a self-adaptive and robust approach to boost the system performance in fluctuating environments. Our protocol, URAS, uses vehicular GPS to get the position and speed of destination and neighbor node, and uses this information to assist selecting the next-hop nodes.…”

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confidence: 99%

“…As a new bio-inspired model, CASM has been successfully applied in many fields. For example, the adaptive vehicular epidemic routing method [15], the network selection method for multimode communications in heterogeneous vehicular telematics [16], the adaptive signal control for traffic networks [17] etc. CASM also offers a new choice for future mobile network management [18].…”

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confidence: 99%

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A Microbial Inspired Routing Protocol for VANETs

Tian

Zheng

Zhou

et al. 2018

IEEE Internet Things J.

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Abstract-We present a bio-inspired unicast routing protocol for vehicular Ad Hoc Networks which uses the cellular attractor selection mechanism to select next hops. The proposed unicast routing protocol based on attractor selecting (URAS) is an opportunistic routing protocol, which is able to change itself adaptively to the complex and dynamic environment by routing feedback packets. We further employ a multi-attribute decision-making strategy, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), to reduce the number of redundant candidates for next-hop selection, so as to enhance the performance of attractor selection mechanism. Once the routing path is found, URAS maintains the current path or finds another better path adaptively based on the performance of current path, that is, it can self-evolution until the best routing path is found. Our simulation study compares the proposed solution with the state-of-the-art schemes, and shows the robustness and effectiveness of the proposed routing protocol and the significant performance improvement, in terms of packet delivery, end-toend delay, and congestion, over the conventional method.Index Terms-Vehicular ad hoc networks, routing protocol, adaptive mechanism, biologically inspired networking, cellular attractor selection.

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“…A generalized VANET, also called connected vehicles, comprises wireless communication links among vehicles and road-side access points (APs), and supports both vehicle-tovehicle (V2V) and vehicle-to-infrastructure (V2I) communications [3], [4]. However, due to vehicular mobility, multipath propagation, and other time-varying effects, there exists inherent space time frequency variability in vehicular channels [5]- [7].…”

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confidence: 99%

Self-Organized Relay Selection for Cooperative Transmission in Vehicular Ad-Hoc Networks

Tian

Zhou

Sheng

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-Cooperation is a promising paradigm to improve spatial diversity in vehicular ad-hoc networks. In this paper, we pose a fundamental question: how the greediness and selfishness of individual nodes impact cooperation dynamics in vehicular ad-hoc networks. We map the self-interest-driven relay selection decision-making problem to an automata game formulation and present a non-cooperative game-theoretic analysis. We show that the relay selection game is an ordinal potential game. A decentralized self-organized relay selection algorithm is proposed based on a stochastic learning approach where each player evolves toward a strategic equilibrium state in the sense of Nash. Furthermore, we study the exact outage behavior of the multi-relay decode-and-forward cooperative communication network. Closed-form solutions are derived for the actual outage probability of this multi-relay system in both independent and identically distributed channels and generalized channels, which need not assume an asymptotic or high signal-to-noise ratio. Two tight approximations with low computational complexity are also developed for the lower bound of the outage probability. With the exact closed-form outage probability, we further develop an optimization model to determine optimal power allocations in the cooperative network, which can be combined with the decentralized learning-based relay selection. The analysis of the exact and approximative outage behaviors and the convergence properties of the proposed algorithm toward a Nash equilibrium state are verified theoretically and numerically. Simulation results are also given to demonstrate that the resulting cooperative network induced by the proposed algorithm achieves high energy efficiency, transmission reliability, and network-wide fairness performance.Index Terms-Vehicular ad-hoc networks, cooperative communication, relay selection, outage probability, energy efficiency, noncooperative game.

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An adaptive vehicular epidemic routing method based on attractor selection model

Cited by 41 publications

References 33 publications

Neighbor Trigger for Hovering Information

Neighbor Trigger for Hovering Information

A Microbial Inspired Routing Protocol for VANETs

Self-Organized Relay Selection for Cooperative Transmission in Vehicular Ad-Hoc Networks

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