Using Routing Table Flag to Improve Performance of AODV Routing Protocol for VANETs Environment

Keshavarz, Hassan; Noor, Rafidah Md; Mostajeran, Ehsan

doi:10.1007/978-3-642-37371-8_11

Cited by 9 publications

(7 citation statements)

References 6 publications

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“…Lucas D. P et al [1] has proposed cluster based load balancing algorithm, here the maximum transmission power of the nodes is used to work as the cluster member. Cluster membership depends on the communication cost.…”

Section: IImentioning

confidence: 99%

Energy efficient load balancing algorithm in cloud based wireless sensor network

Baviskar

Patil

Govind

2015

2015 International Conference on Information Processing (ICIP)

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Wireless sensor network communications system is used in many fields of applications like environment monitoring and protection, medicine, security etc. As Cloud Services are flexible, powerful and cost efficient framework, it is used for providing real time data for consumers at every time with a large coverage and high quality. Load Balancing will be used for dividing the processing work and delivering faster services with higher efficiency. In cloud based wireless sensor network, here for load balancing virtual machines are assign to suitable servers and the use of resources are balance with other servers. The proposed Hybrid ant colony optimization algorithm is used to solve problem of the virtual machine scheduling. It is used for better system stability and for increases performance. It is used for reducing computational time of the scheduling. This algorithm help to reduce the energy consumption, reduces the number of packets, and improve the lifetime of network.

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Section: IImentioning

confidence: 99%

Energy efficient load balancing algorithm in cloud based wireless sensor network

Baviskar

Patil

Govind

2015

2015 International Conference on Information Processing (ICIP)

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“…The third group is known as the hybrids. They are a combination of the reactive routing protocols and proactive routing protocols [4].…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

“…2 International Journal of Distributed Sensor Networks Proactive, reactive, and hybrid [2,4] are three main categories of routing algorithms. Proactive or, alternatively, the table-driven algorithms always show a fresh list of routes.…”

Section: Introductionmentioning

confidence: 99%

“…High latency time in route finding is one of these algorithms' disadvantage and another is imposed overhead on the network due to the flooding technique; nevertheless it has less overhead compared to that for the proactive group. The most famous routing protocols of this group are DFS [7] and AODV [2, 4]. The third group is known as the hybrids.…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficient Routing in Wireless Sensor Networks Based on Fuzzy Ant Colony Optimization

Amiri

Keshavarz

Alizadeh

et al. 2014

International Journal of Distributed Sensor Networks

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A wireless sensor network (WSN) is a collection of sensor nodes that dynamically self-organize themselves into a wireless network without the utilization of any preexisting infrastructure. One of the major problems in WSNs is the energy consumption, whereby the network lifetime is dependent on this factor. In this paper, we propose an optimal routing protocol for WSN inspired by the foraging behavior of ants. The ants try to find existing paths between the source and base station. Furthermore, we have combined this behavior of ants with fuzzy logic in order for the ants to make the best decision. In other words, the fuzzy logic is applied to make the use of these paths optimal. Our algorithm uses the principles of the fuzzy ant colony optimization routing (FACOR) to develop a suitable problem solution. The performance of our routing algorithm is evaluated by Network Simulator 2 (NS2). The simulation results show that our algorithm optimizes the energy consumption amount, decreases the number of routing request packets, and increases the network lifetime in comparison with the original AODV.

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“…Of late, processes act contrarily to locate the direction between the sender and receiver; more processes only find a direction and some directing processes find a manifold path. The multi-path direction processes waste additional grid assets due to more communication broadcast as contrasting to the single pathway processes [2,3]. The important purpose of the faith prototypical [4] is to enhance the complete grid's functioning by overseeing the nodule's manners, gathering and computing the faith's worth of the nodules, minimizing the power of outbreaks and guaranteeing the grid's consistency on data collection and dispensation.…”

Section: Introductionmentioning

confidence: 99%

An Fuzzy Trust Based Energy Aware Multipath Secure Data Collection in WSN

Babu¹,

Anuradha²,

Murty³

2018

IJET

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A Wireless Sensor Network (WSN) is an array of radar nodules that energetically organize itself into a cable-less grid without utilizing any prevailing arrangement. One of the significant issues in WSNs is the drive's intake, whereby the grid's lifespan is reliant on this aspect. Security is another significant issues in cable-less radar grids, because of absence of wire/cable besides resource constraint's nature. Reliance model shows a key role in fortifying the radar grids by recognizing the egotistical, malevolent and give -in nodules and separating them from message grid. Directed Random Propagation (DRP) operates two-hop vicinity data to enhance the circulation competence, leading to a reduced pack capture possibility. In this study, Shuffled Frog Leaping Algorithm (SFLA) is applied to augment ill-defined faith centered drive conscious multiple route locked data group in WSN.

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Using Routing Table Flag to Improve Performance of AODV Routing Protocol for VANETs Environment

Cited by 9 publications

References 6 publications

Energy efficient load balancing algorithm in cloud based wireless sensor network

Energy efficient load balancing algorithm in cloud based wireless sensor network

Energy Efficient Routing in Wireless Sensor Networks Based on Fuzzy Ant Colony Optimization

An Fuzzy Trust Based Energy Aware Multipath Secure Data Collection in WSN

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