TrafficGather: An Efficient and Scalable Data Collection Protocol for Vehicular Ad Hoc Networks

Chang, Wang-Rong; Lin, Hui-Tang; Chen, Bo-Xuan

doi:10.1109/ccnc08.2007.88

Cited by 24 publications

(29 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this step, we should choose a sufficient method depending on the circumstances and constraints of the problem. For instant, some of the proposed clustering methods are suitable for crowded paths [14,15] or some other ones are convenient for a way with low density of vehicles [16]. On the next step, we should find a sufficient CH.…”

Section: Overviewmentioning

confidence: 99%

Utilization of nested clustering in VANET to reduce data loss in mobile cloud computing

Arzhmand

Rashid

Ashrafi

2016

Vietnam J Comput Sci

View full text Add to dashboard Cite

Over the recent few years, most of network service providers have tried to expand their services all around by newly emerged technologies in network, especially mobile cloud computing. Most emerging cars and vehicles with powerful computers and storages, can be equipped with such new technologies such as vehicular ad hoc network radio, a new wireless technology. These capabilities lead network service providers to use these potentials to expand their network services such as Internet on the roads. It seems there are enough materials and peripherals to design a convenient network but every new architecture will have its limitations and problems, such as data loss, in performance. In this paper at first, we propose a design to find a proper cluster head in a group of vehicles. Then, based on some mathematical and physical methods and criteria, we demonstrate that nested clustering can reduce data loss in real streets and at equipped traffic-light crossroads, noticeably. Finally, we perform the simulation experiments to demonstrate the efficiency of our proposed approach in comparison with other approaches.

show abstract

Section: Overviewmentioning

confidence: 99%

Utilization of nested clustering in VANET to reduce data loss in mobile cloud computing

Arzhmand

Rashid

Ashrafi

2016

Vietnam J Comput Sci

View full text Add to dashboard Cite

show abstract

“…Assume the number of roads of which the path in the set PS has the most roads is max . For any ∈ RPS, the error bound Δ is got through dividing the QoS demand by (7). For any ∈ RPS, the possibility of satisfying the error bound of road is got through dividing the QoS demand by (8).…”

Section: Extracting the Requirement Of The Single Usermentioning

confidence: 99%

“…. , (1) for ← 0 to do (2) for ← 0 to do (3) Calculate ( , ) (4) for ← 0 to do (5) ( , ) = 1 (6) for ← 2 to do (7) for ← 1 to − + 1 do (8) = + − 1; (9) if ( , ) = 1 then (10) ( , ) = 1 (11) else (12) for ← to − 1 do carrying data, it can receive and aggregate data from other vehicles. The vehicle needs to decide whether to retain the data they are carrying or to forward the data to another node on which aggregation can be done to save more bandwidth cost.…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

See 1 more Smart Citation

Data Aggregation and Routing Guidance with QoS Guarantee in VANETs

Feng

Jiang

et al. 2014

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Data aggregation is a useful technology that can decrease the communication bandwidth cost in the process of data gathering in VANETs. However, data aggregation may lose some data accuracy. Current data aggregation schemes in VANETs only consider saving bandwidth cost while ignoring the application requirement, which may result in the inaccuracy of aggregated data for dynamic routing application. Therefore, we propose a framework in which application demands are considered in the process of data aggregation to ensure the accuracy of aggregated data for dynamic routing application. The framework consists of three parts: extracting QoI constraints of aggregated data, distributing the QoI-based data gathering queries, routing and aggregating data with QoI constraints. First, we propose average allocation method to handle the demand of single user and utilize convex optimization to handle multiuser demands. Then, we distribute the QUERY message with QoI constraints in the interested area. Last, we propose QoI-DG protocol to do two kinds of data aggregation operation, namely, AVERAGE aggregation and HISTOGRAM aggregation. Simulation experiments show that our proposed method can increase about 20 percent in the collected data rate and save 15 percent communication bandwidth cost in the process of data gathering in VANETs.

show abstract

“…There Communication between non-overlapping clusters requires gateways, which are elected from nodes closest to the cluster borders and preferably on the middle lane. A gateway selection procedure is described in [29]. By avoiding cluster overlapping and maximizing the coverage area of a cluster, the required number of clusters is minimized.…”

Section: Cluster Infrastructurementioning

confidence: 99%

Modeling and Analysis for Emergency Messaging Delay in Vehicular Ad Hoc Networks

Abboud

Zhuang

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

View full text Add to dashboard Cite

TrafficGather: An Efficient and Scalable Data Collection Protocol for Vehicular Ad Hoc Networks

Cited by 24 publications

References 8 publications

Utilization of nested clustering in VANET to reduce data loss in mobile cloud computing

Utilization of nested clustering in VANET to reduce data loss in mobile cloud computing

Data Aggregation and Routing Guidance with QoS Guarantee in VANETs

Modeling and Analysis for Emergency Messaging Delay in Vehicular Ad Hoc Networks

Contact Info

Product

Resources

About