MétaCan
Menu
Back to cohort
Record W2154302286 · doi:10.1109/icc.2004.1313245

Position-aided on demand routing protocol for wireless ad hoc networks

2004· article· en· W2154302286 on OpenAlexaff
Baopei Zhang, Hussein T. Mouftah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Ad Hoc Networks
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceFlooding (psychology)Computer networkRouting protocolWireless ad hoc networkOverhead (engineering)Routing (electronic design automation)Distributed computingOptimized Link State Routing ProtocolWirelessTelecommunications

Abstract

fetched live from OpenAlex

This paper presents the design of a position-aided on demand routing (PAR) protocol. The objective is to effectively reduce the communication overhead associated with path discovery and maintenance with the assistance of position information. For this purpose, PAR employs a novel restricted directional flooding mechanism. This mechanism creates an ellipse-forwarding zone, across which control messages are propagated for route discovery. Moreover, PAR uses location-guided expanding ring search, which works by searching successively larger areas for paths. This searching strategy can effectively prevent unnecessary network-wide flooding. In terms of location tracking, we design a method of recursive passive listening at intermediate nodes for end-to-end location tracking. This method enables the source to effectively keep track of the up-to-date location of its communication partner at little control overhead. Simulation results demonstrate that the PAR protocol can significantly reduce the communication overhead associated with path discovery, compared with related work.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.279
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2004
Admission routes1
Has abstractyes

Explore more

Same topicMobile Ad Hoc NetworksFrench-language works237,207