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Record W2115290548 · doi:10.1109/glocom.2007.224

An Energy-Aware and Fault Tolerant Inter-Cluster Communication Based Protocol for Wireless Sensor Networks

2007· article· en· W2115290548 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEnergy Efficient Wireless Sensor Networks
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceComputer networkWireless sensor networkRouting protocolDistributed computingCorrectnessFault toleranceQuality of serviceProtocol (science)Key distribution in wireless sensor networksWireless Routing ProtocolWireless networkWirelessRouting (electronic design automation)Algorithm

Abstract

fetched live from OpenAlex

This paper presents a QoS-aware routing protocol for event-driven, query-based and periodic Wireless Sensor Networks (WSNs). This algorithm is cluster-based and aims at optimizing energy dissipation in the network as well as providing fault tolerance and connectivity to the network. It uses clusterhead nodes and the nodes closest to each other within two neighboring clusters for relaying messages. Thus, message propagation through the network is accomplished by using short transmissions. Moreover, the algorithm proposes an energy- aware approach by alternating the nodes responsible for inter- cluster communication while supporting network connectivity and avoiding congested links. We discuss the implementation of our protocol and present its proof of correctness.

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.

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)0.001
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 score0.821
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.287
Teacher spread0.272 · 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

Quick stats

Citations30
Published2007
Admission routes1
Has abstractyes

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