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Enabling Green Wireless Sensor Networks: Energy Efficient T-MAC Using Markov Chain Based Optimization

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

1 of the 31 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1371/journal.pone.0156885 (notice 2026-02-23).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.3463openalex-snapshot
Towards green computing in wireless sensor networks: Controlled mobility–aided balanced tree approach
inferredcites →https://doi.org/10.1007/s10916-017-0739-yopenalex-snapshot
TraPy-MAC: Traffic Priority Aware Medium Access Control Protocol for Wireless Body Area Network
inferredcites →https://doi.org/10.1007/s11235-017-0349-5openalex-snapshot
EETP-MAC: energy efficient traffic prioritization for medium access control in wireless body area networks
inferredcites →https://doi.org/10.1007/s11276-017-1461-xopenalex-snapshot
A reliable energy-efficient pressure-based routing protocol for underwater wireless sensor network
inferredcites →https://doi.org/10.1007/s11277-012-0587-5openalex-snapshot
Performance Analysis of IEEE 802.15.4 MAC Protocol with ACK Frame Transmission
inferredcites →https://doi.org/10.1007/s11277-014-1759-2openalex-snapshot
Energy Balanced Model for Lifetime Maximization in Randomly Distributed Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/s11277-015-2973-2openalex-snapshot
Position-Based Beaconless Routing in Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/s11277-017-4584-6openalex-snapshot
Analytical Model of Deployment Methods for Application of Sensors in Non-hostile Environment
inferredcites →https://doi.org/10.1007/s11277-017-4831-xopenalex-snapshot
Inter Vehicle Distance Based Connectivity Aware Routing in Vehicular Adhoc Networks
inferredcites →https://doi.org/10.1007/s12083-016-0511-yopenalex-snapshot
Green computing for wireless sensor networks: Optimization and Huffman coding approach
inferredcites →https://doi.org/10.1016/j.adhoc.2016.08.006openalex-snapshot
Energy balanced position-based routing for lifetime maximization of wireless sensor networks
inferredcites →https://doi.org/10.1016/j.compeleceng.2017.12.015openalex-snapshot
A Dynamic Congestion Control Scheme for safety applications in vehicular ad hoc networks
inferredcites →https://doi.org/10.1016/j.scs.2017.12.018openalex-snapshot
Towards green computing for Internet of things: Energy oriented path and message scheduling approach
inferredcites →https://doi.org/10.1109/access.2016.2603219openalex-snapshot
Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects
inferredcites →https://doi.org/10.1109/jiot.2017.2717704openalex-snapshot
Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things
inferredcites →https://doi.org/10.1109/jsen.2013.2285411openalex-snapshot
A Realistic Energy Consumption Model for TSCH Networks
inferredcites →https://doi.org/10.1109/jsen.2016.2614748openalex-snapshot
T-MQM: Testbed based Multi-metric Quality Measurement of Sensor Deployment for Precision Agriculture-A Case Study
inferredcites →https://doi.org/10.1109/jsyst.2018.2815156openalex-snapshot
Toward Anycasting-Driven Reservation System for Electric Vehicle Battery Switch Service
inferredcites →https://doi.org/10.1109/jsyst.2018.2851140openalex-snapshot
A Decentralized Deadline-Driven Electric Vehicle Charging Recommendation
inferredcites →https://doi.org/10.1109/lcomm.2008.071705openalex-snapshot
Performance Analysis of S-MAC Protocol under Unsaturated Conditions
inferredcites →https://doi.org/10.1109/mobhoc.2009.5337007openalex-snapshot
A generalized Markov chain model for effective analysis of slotted IEEE 802.15.4
inferredcites →https://doi.org/10.1109/tmc.2011.121openalex-snapshot
Modeling and Performance Analysis for Duty-Cycled MAC Protocols with Applications to S-MAC and X-MAC
inferredcites →https://doi.org/10.1109/tnet.2004.828953openalex-snapshot
Medium Access Control With Coordinated Adaptive Sleeping for Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/twc.2008.060057openalex-snapshot
Performance Analysis of Slotted Carrier Sense IEEE 802.15.4 Medium Access Layer
inferredcites →https://doi.org/10.1145/1210669.1210673openalex-snapshot
Analysis of the contention access period of IEEE 802.15.4 MAC
inferredcites →https://doi.org/10.1145/1921621.1921622openalex-snapshot
Optimizing physical-layer parameters for wireless sensor networks
inferredcites →https://doi.org/10.1201/9781315364094-66openalex-snapshot
Optimizing energy consumption and inequality in wireless sensor networks using NSGA-II
inferredcites →https://doi.org/10.1371/journal.pone.0156885openalex-snapshot
RETRACTED: FSM-F: Finite State Machine Based Framework for Denial of Service and Intrusion Detection in MANET
inferredcites →https://doi.org/10.3390/en10122073openalex-snapshot
Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities
inferredcites →https://doi.org/10.3390/info8010003openalex-snapshot
Next Forwarding Node Selection in Underwater Wireless Sensor Networks (UWSNs): Techniques and Challenges
inferredcites →https://doi.org/10.5120/1643-2210openalex-snapshot
An Analytical Model for Power Control T-MAC Protocol

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11276-022-03058-xopenalex-snapshot
An efficient Markov energy predictor for software defined wireless sensor networks
inferred← citeshttps://doi.org/10.1007/s12652-021-03278-7openalex-snapshot
EAM: energy aware method for chain-based routing in wireless sensor network
inferred← citeshttps://doi.org/10.1007/s12652-022-04390-yopenalex-snapshot
A self-organized priority-based MAC protocol in wireless sensor networks based on SDR-RHSO optimal relay node selection and HL-ANN wake-up scheduling
inferred← citeshttps://doi.org/10.1016/j.eti.2021.101802openalex-snapshot
M-SMDM: A model of security measures using Green Internet of Things with Cloud Integrated Data Management for Smart Cities
inferred← citeshttps://doi.org/10.1109/access.2020.2968524openalex-snapshot
An Enhanced Distributed Congestion Control Method for Classical 6LowPAN Protocols Using Fuzzy Decision System
inferred← citeshttps://doi.org/10.1109/access.2021.3061273openalex-snapshot
Shortest Propagation Delay-Based Relay Selection for Underwater Acoustic Sensor Networks
inferred← citeshttps://doi.org/10.1109/ici3c60830.2023.00079openalex-snapshot
Wireless Sensor Network Access Control Technology with Joint Optimization of Delay and Power Consumption
inferred← citeshttps://doi.org/10.1109/isssc50941.2020.9358843openalex-snapshot
A Novel Method for Evaluation of Reliability of WSN Under Different Failure Models
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0121182openalex-snapshot
A Reliable Lightweight Trust Evaluation Scheme for IoT Security
inferred← citeshttps://doi.org/10.2478/amns.2023.1.00004openalex-snapshot
Analysis of network information security issues under the background of big data
inferred← citeshttps://doi.org/10.31031/tteh.2019.01.000525openalex-snapshot
A Survey of Energy Efficiency in Wireless Human Body Sensors Lifetime for Healthcare Applications
inferred← citeshttps://doi.org/10.32985/ijeces.13.7.3openalex-snapshot
A Hybrid Modified Ant Colony Optimization - Particle Swarm Optimization Algorithm for Optimal Node Positioning and Routing in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.3389/frcmn.2025.1657378openalex-snapshot
Modeling and analysis of response time in vehicular networks using Markov chains
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