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Record W2154744516 · doi:10.1109/ccece.2006.277328

Hybrid Position-Based 3D Routing Algorithms with Partial Flooding

2006· article· en· W2154744516 on OpenAlexaff
Alaa E. Abdallah, Thomas Fevens, Josef Opatrný

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Ad Hoc Networks
Canadian institutionsConcordia University
Fundersnot available
KeywordsDestination-Sequenced Distance Vector routingComputer scienceLink-state routing protocolStatic routingDynamic Source RoutingFlooding (psychology)Equal-cost multi-path routingAlgorithmWireless Routing ProtocolZone Routing ProtocolRouting tableMultipath routingPolicy-based routingComputer networkGeographic routingDistributed computingRouting (electronic design automation)Routing protocol

Abstract

fetched live from OpenAlex

Position-based routing algorithms use the location information to reduce routing overhead in mobile ad-hoc networks. In this paper we propose two position-based routing algorithms which combine progress-based routing with restricted directional flooding-based routing algorithms for routing in 3 dimensional environments (3D). The first algorithm 3D_ABLAR(m) chooses m neighbors according to a space-partition heuristic and forwards the message to all these nodes. The second algorithm (C, G)-3D_ABLAR(m)-(C, G) uses progress-based routing until a local minimum is reached. The algorithm then switches to the first algorithm for one step and then progress-based routing is resumed. We evaluate our algorithm and compare it with current routing algorithms. The simulation results show a significant improvement in delivery rate (99% compared to 63%) and reduction in traffic (up to 50%)

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.773
Threshold uncertainty score0.480

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 science0.0000.000
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 head0.007
GPT teacher head0.206
Teacher spread0.199 · 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

Citations18
Published2006
Admission routes1
Has abstractyes

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