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Sleep scheduling for wireless sensor networks via network flow model
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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/wcm.111openalex-snapshot
Three power‐aware routing algorithms for sensor networks
inferredcites →https://doi.org/10.1023/a:1016542229220openalex-snapshot
Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks
inferredcites →https://doi.org/10.1023/b:mone.0000013625.87793.13openalex-snapshot
Distributed Construction of Connected Dominating Set in Wireless Ad Hoc Networks
inferredcites →https://doi.org/10.1109/icbn.2005.1589692openalex-snapshot
SS-trees: a cross-layer organizational approach for mesh-based wide-area wireless sensor networks
inferredcites →https://doi.org/10.1109/icc.2001.936985openalex-snapshot
Power efficient organization of wireless sensor networks
inferredcites →https://doi.org/10.1109/infcom.2000.832213openalex-snapshot
Topology control of multihop wireless networks using transmit power adjustment
inferredcites →https://doi.org/10.1109/infcom.2002.1019378openalex-snapshot
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
inferredcites →https://doi.org/10.1109/infcom.2002.1019408openalex-snapshot
An energy-efficient MAC protocol for wireless sensor networks
inferredcites →https://doi.org/10.1109/infcom.2004.1354585openalex-snapshot
Cross-layer scheduling for power efficiency in wireless sensor networks
inferredcites →https://doi.org/10.1109/ipdps.2001.925197openalex-snapshot
TEEN: a routing protocol for enhanced efficiency in wireless sensor networks
inferredcites →https://doi.org/10.1109/ipdps.2003.1213472openalex-snapshot
Chain-based protocols for data broadcasting and gathering in the sensor networks
inferredcites →https://doi.org/10.1109/ipdps.2005.276openalex-snapshot
Maximizing the Lifetime of Dominating Sets
inferredcites →https://doi.org/10.1109/jproc.2003.814918openalex-snapshot
Sensor networks: Evolution, opportunities, and challenges
inferredcites →https://doi.org/10.1109/mcom.2002.1024422openalex-snapshot
A survey on sensor networks
inferredcites →https://doi.org/10.1109/tc.2005.123openalex-snapshot
A Distributed Coverage- and Connectivity-Centric Technique for Selecting Active Nodes in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/tnet.2004.833122openalex-snapshot
Maximum Lifetime Routing in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/tpds.2002.1036066openalex-snapshot
Data gathering algorithms in sensor networks using energy metrics
inferredcites →https://doi.org/10.1109/twc.2002.804190openalex-snapshot
An application-specific protocol architecture for wireless microsensor networks
inferredcites →https://doi.org/10.1137/s0097539700380754openalex-snapshot
Approximating theDomatic Number
inferredcites →https://doi.org/10.1145/1062689.1062738openalex-snapshot
Minimum power configuration in wireless sensor networks
inferredcites →https://doi.org/10.1145/313239.313261openalex-snapshot
On calculating connected dominating set for efficient routing in ad hoc wireless networks
inferredcites →https://doi.org/10.1145/332833.332838openalex-snapshot
Wireless integrated network sensors
inferredcites →https://doi.org/10.1145/940923.940925openalex-snapshot
Power-efficient data dissemination in wireless sensor networks
inferredcites →https://doi.org/10.1145/940991.941000openalex-snapshot
Energy-aware data-centric routing in microsensor networks
inferredcites →https://doi.org/10.1145/940997.941000openalex-snapshot
Energy-aware data-centric routing in microsensor networks
inferredcites →https://doi.org/10.1145/958491.958496openalex-snapshot
Integrated coverage and connectivity configuration in wireless sensor networks
inferredcites →https://doi.org/10.1145/958491.958512openalex-snapshot
An adaptive energy-efficient MAC protocol for wireless sensor networks
inferredcites →https://doi.org/10.1145/958495.958496openalex-snapshot
Integrated coverage and connectivity configuration in wireless sensor networks
inferredcites →https://doi.org/10.1145/980159.980170openalex-snapshot
A study of energy consumption and reliability in a multi-hop sensor network
inferredcites →https://doi.org/10.1145/984622.984685openalex-snapshot
Network coverage using low duty-cycled sensors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Maximum Connected Domatic Partition of Directed Path Graphs with Single Junction
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Experimental Study of Independent and Dominating Sets in Wireless Sensor Networks Using Graph Coloring Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-23324-1_72openalex-snapshot
A Method of Distributed Data Storage Based on Integrated Threshold
inferred← citeshttps://doi.org/10.1007/978-3-642-30126-1_36openalex-snapshot
The Delay of State Detection in Wireless Monitoring System Based on ZigBee
inferred← citeshttps://doi.org/10.1007/978-3-662-46338-3_22openalex-snapshot
A Generalized Data Preservation Problem in Sensor Networks–A Network Flow Perspective
inferred← citeshttps://doi.org/10.1016/j.adhoc.2010.01.005openalex-snapshot
An efficient heuristic for placement, scheduling and routing in wireless sensor networks
inferred← citeshttps://doi.org/10.1016/j.adhoc.2019.101994openalex-snapshot
Maximization of the sensor network lifetime by activity schedule heuristic optimization
inferred← citeshttps://doi.org/10.1016/j.comcom.2014.05.004openalex-snapshot
Survey on wakeup scheduling for environmentally-powered wireless sensor networks
inferred← citeshttps://doi.org/10.1016/j.ejor.2010.05.020openalex-snapshot
A column generation based heuristic for sensor placement, activity scheduling and data routing in wireless sensor networks
inferred← citeshttps://doi.org/10.1016/j.jnca.2010.11.009openalex-snapshot
A survey on cross-layer solutions for wireless sensor networks
inferred← citeshttps://doi.org/10.1016/j.jnca.2016.10.005openalex-snapshot
A survey on green routing protocols using sleep-scheduling in wired networks
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.110295openalex-snapshot
Minimal sensor node selection (MSNS), an evolutionary algorithm for target coverage in clustered wireless sensor networks
inferred← citeshttps://doi.org/10.1049/iet-com.2011.0565openalex-snapshot
Energy-efficient spectrum sensing by optimal periodic scheduling in cognitive radio networks
inferred← citeshttps://doi.org/10.1049/iet-smt.2011.0211openalex-snapshot
E-Science application of wireless sensor networks in eco-hydrological monitoring in the Heihe River basin, China
inferred← citeshttps://doi.org/10.1057/jors.2008.187openalex-snapshot
Optimal placement, scheduling, and routing to maximize lifetime in sensor networks
inferred← citeshttps://doi.org/10.1109/access.2020.3035284openalex-snapshot
A New Nonuniform Random Deployment Method to Minimize Cost for Large-Scale Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1109/ccpis65231.2025.11234232openalex-snapshot
Intelligent Energy-Aware Routing in WBANs using Decision Tree Clustering and Adaptive Sleep Scheduling
inferred← citeshttps://doi.org/10.1109/icacrs55517.2022.10029222openalex-snapshot
Improving the Power Consumption of Sensor Networks using Optimization Technique for Sleep Scheduling Mechanism
inferred← citeshttps://doi.org/10.1109/isci.2011.5958982openalex-snapshot
An integrated fusion protocol for congregating sensor data in wireless sensor network
inferred← citeshttps://doi.org/10.1109/iscis.2007.4456874openalex-snapshot
Optimal placement and activity scheduling to maximize coverage lifetime in wireless sensor networks
inferred← citeshttps://doi.org/10.1145/2523814openalex-snapshot
Maximizing the Lifetime of Query-Based Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1145/2644820openalex-snapshot
Distributed Data-Centric Adaptive Sampling for Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1145/2757384.2757389openalex-snapshot
Data Preservation in Data-Intensive Sensor Networks With Spatial Correlation
inferred← citeshttps://doi.org/10.1155/2012/161347openalex-snapshot
A Mobile Agent Routing Algorithm in Dual-Channel Wireless Sensor Network
inferred← citeshttps://doi.org/10.1186/s13673-018-0141-xopenalex-snapshot
An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks
inferred← citeshttps://doi.org/10.1504/ijsnet.2006.010836openalex-snapshot
Optimal sleep scheduling with transmission range assignment in application-specific wireless sensor networks
inferred← citeshttps://doi.org/10.1587/transfun.e92.a.1174openalex-snapshot
Construction of Self-Stabilizing k Disjoint Sense-Sleep Trees with Application to Sensor Networks
inferred← citeshttps://doi.org/10.17577/ijertv9is090093openalex-snapshot
Fuzzy Logic Technique to Select Redundant Nodes and form Fault Free Node in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.2139/ssrn.6149469openalex-snapshot
Minimal Sensor Node Selection (MSNS), an Evolutionary Algorithm for Target Coverage in Clustered Wireless Sensor Networks
inferred← citeshttps://doi.org/10.4028/www.scientific.net/aef.4.32openalex-snapshot
Wireless Sensor Networks Scheduling Algorithm Based on the Probability of Monitoring
inferred← citeshttps://doi.org/10.5120/cae2016652444openalex-snapshot
Manage the Traffic Load for Reducing Power Consumption in Wireless Sensor Network with Mobile Sink
inferred← citeshttps://doi.org/10.5120/ijca2016911230openalex-snapshot
Introducing Energy Efficient Strategies of Virtual Backbone Nodes in Wireless Sensor Network
inferred← citeshttps://doi.org/10.5121/ijcnc.2012.4210openalex-snapshot
Adjacency Matrix Based Energy Efficient Scheduling Using S-Mac Protocol in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.5815/ijcnis.2016.01.02openalex-snapshot
Dynamic and Real-time Sleep Schedule Protocols for Energy Efficiency in WSNs
inferred← citeshttps://doi.org/10.5815/ijmecs.2012.04.02openalex-snapshot
Matrix Based Energy Efficient Scheduling With S-MAC Protocol in Wireless Sensor Network
inferred← citeshttps://doi.org/10.61373/bm026p.0045openalex-snapshot
Sleep as a system-level resilience mechanism in complex dynamic networks: Insights from biological and artificial systems
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