Predictive Scheme for Location Service in Mobile Ad-Hoc Networks

Amar, Ebtisam; Boumerdassi, Selma; Renault, Éric

doi:10.1007/978-3-642-02617-1_53

Cited by 1 publication

(2 citation statements)

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“…Authors in [19] proposed the Predictive Hierarchical Location Service protocol (PHLS) which uses a hierarchy of regions to achieve scalability. PHLS predicts the demanded position when the precise position is unidentified by exploiting previous nodes' information (location and velocity).…”

Section: Location Prediction In Mobile Ad-hoc Networkmentioning

confidence: 99%

“…Through joining the hierarchy structure together with the prediction such the one proposed in PHLS, flooding packets is avoided and the performance is improved. Two prediction schemes were presented in [19]. The first scheme is PHLS1 that predicts locations based on velocity, previously stored position of a node, current time, and the time when last position where received.…”

Section: Location Prediction In Mobile Ad-hoc Networkmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Location Prediction Techniques in Mobile Ad Hoc Networks

Zaki

Ngadi²,

Kamat³

et al. 2020

QJPS

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Predicting future locations of mobile objects has received a lot of attention in research due to its importance in mobile ad hoc networks. The precise location of a mobile node is essential in determining the location of the destination node for the purpose of communication. High mobility of nodes and delay in sending current location affect the accuracy of mobile nodes’ locations. Providing accurate location needs well-designed location prediction technique considers a number of factors that assist in retrieving up-to-date locations. This paper reviews available models: mathematical models and models with neural network and address the problems in location prediction techniques and provides a deep analysis of the good features for improved prediction techniques.

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Section: Location Prediction In Mobile Ad-hoc Networkmentioning

confidence: 99%

Section: Location Prediction In Mobile Ad-hoc Networkmentioning

confidence: 99%