LACAV: an energy-efficient channel assignment mechanism for vehicular ad hoc networks

Misra, Sudip; Krishna, P. Venkata; Saritha, V.

doi:10.1007/s11227-011-0552-1

Cited by 53 publications

(20 citation statements)

References 18 publications

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“…There has been a number of research proposasl existing in literature addressing various issues using learning automata [38][39][40][41][42][43][44][45][46]. In all of these proposals, computational intelligence (CI) is applied to solve different real world applications addressing various issues and results obtained from these proposals prove the effectiveness of the computational intelligence techniques in comparison to various other schemes in literature.…”

Section: Computational Intelligencementioning

confidence: 99%

“…CI systems deals with only numerical data and provides adaption, fault tolerance, high computational speed and error resilience so that it is applicable for vehicular networks. This adaptability helps to predict aspects such as the future vehicle characteristics like speed and position of vehicles on the road as well as characteristics related to driver behavior, which can also include personal medical information [38][39][40][41][42][43][44][45][46]. The CI based algorithm or protocol improves the packet dissemination ratio without increasing the message overhead in vehicular networks as it efficiently selects the best relay node by taking into account inter vehicle distance, vehicle velocity and link quality in VANETs [38][39][40][41][42][43][44][45][46].…”

Section: Computational Intelligencementioning

confidence: 99%

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An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

et al. 2015

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In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

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Section: Computational Intelligencementioning

confidence: 99%

Section: Computational Intelligencementioning

confidence: 99%

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

et al. 2015

Self Cite

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“…However, these routing protocols all fail to solve the problem about how to reduce the link interruption during data transmission process. In most on-demand routing algorithms, certain time shall be taken to detect link faults and then the routing recovery process shall be started [3,4]. In this way, many resources, such as bandwidth and energy, will be consumed and additional time delay will be also introduced.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Energy Aware Algorithm for Reliable Transmission Sensor Networks

Cao¹,

Wang²,

Wang³

2016

IJGDC

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“…The link layer uses the backoff time, data rate and data count information provided by the routing layer to decide a packet whether it transmits or not. The routing stability of a MANET is improved by this cross-layer model [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient stable routing using QoS monitoring agents in MANET

Palaniappan

Chellan²

2015

J Wireless Com Network

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In mobile ad hoc network (MANET), the most important issue is to provide a stable and reliable route for the uninterrupted communication. In order to overcome these issues, in this paper, we propose a stable and energy-efficient routing technique. In the proposed method, quality of service (QoS) monitoring agents collect and calculate the link reliability metrics such as link expiration time (LET), probabilistic link reliable time (PLRT), link packet error rate (LPER) and link received signal strength (LRSS). In addition, residual battery power (RBP) is implemented to maintain the energy efficiency in the network. Finally, route selection probability (RSP) is calculated based on these estimated parameters using fuzzy logic. Simulation results show that the proposed routing technique improves the packet delivery ratio and reduces the energy consumption.

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LACAV: an energy-efficient channel assignment mechanism for vehicular ad hoc networks

Cited by 53 publications

References 18 publications

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

An Adaptive Energy Aware Algorithm for Reliable Transmission Sensor Networks

Energy-efficient stable routing using QoS monitoring agents in MANET

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