QoS Based and Energy Aware Multi-Path Hierarchical Routing Algorithm in WSNs

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ISSN Print: 1945-3078
ISSN Online: 1945-3086
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"QoS Based and Energy Aware Multi-Path Hierarchical Routing Algorithm in WSNs"
written by Mohammad Reza Mazaheri, Behzad Homayounfar, Sayyed Majid Mazinani,
published by Wireless Sensor Network, Vol.4 No.2, 2012

has been cited by the following article(s):

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[1]	Cellular Goore Game and its application to quality-of-service control in wireless sensor networks
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[2]	Artificial Intelligence–Based Energy‐Efficient Clustering and Routing in IoT‐Assisted Wireless Sensor Network
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[3]	An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT
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[8]	Energy and QoS aware routing for WSNs
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[9]	INVESTIGATION ON TRUST BASED ENERGY CONSERVING LIFETIME IMPROVEMENT TECHNIQUES FOR WIRELESS SENSOR NETWORKS
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[14]	An optimized QoS-based clustering with multipath routing protocol for wireless sensor networks
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[15]	Computer and Information Sciences
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[16]	On Energy Efficient Routing Protocols for Wireless Sensor Networks
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[17]	Energy Optimization In Wireless Sensor Networks Using Leach Protocol
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[18]	ECTMRA: Energy Conserving Trustworthy Multipath Routing Algorithm Based on Cuckoo Search Algorithm
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[19]	Clustering in Wireless Sensor Networks-A Survey
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[20]	Clustering in Wireless Sensor Networks-A Survey.
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[21]	Real-time QoS routing protocols in wireless multimedia sensor networks: study and analysis
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[22]	Cluster Based Multipath Routing Protocol for Wireless Sensor Networks
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[23]	An Energy Efficient and Reliable Location wise Data Aggregation In WSN.
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[24]	Quality of Service in WSN-A Review
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[25]	ICFL-BEENISH: Inter-Cluster Fuzzy Logic Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol for Wireless Sensor Network
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[26]	An Energy Efficient and Reliable Location Wise Data Aggregation in WSN
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[27]	Energy Efficiency in WSN by implementing Leach and Pegasis
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[28]	QoS and Energy Consumption by Symmetric and Asymmetric key Schemes against Blackhole attack in Wireless Sensor Network
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[1]	Artificial Intelligence for Renewable Energy Systems 2022 DOI:10.1002/9781119761686.ch3

[2]	Cellular Goore Game and its application to quality-of-service control in wireless sensor networks The Journal of Supercomputing, 2022 DOI:10.1007/s11227-022-04435-1

[3]	A Qos-Aware, Hybrid Particle Swarm Optimization-Cuckoo Search Clustering Based Multipath Routing in Wireless Sensor Networks Wireless Personal Communications, 2022 DOI:10.1007/s11277-021-08745-0

[4]	Artificial Intelligence for Renewable Energy Systems 2022 DOI:10.1002/9781119761686.ch3

[5]	Advances in Computing and Data Sciences Communications in Computer and Information Science, 2021 DOI:10.1007/978-3-030-81462-5_1

[6]	Intelligent Computing in Engineering Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-981-15-2780-7_66

[7]	Optimized dual path analysis using finite automata theory in wireless sensor networks International Journal of Intelligent Unmanned Systems, 2020 DOI:10.1108/IJIUS-11-2019-0060

[8]	Computational Intelligence in Sensor Networks Studies in Computational Intelligence, 2019 DOI:10.1007/978-3-662-57277-1_10

[9]	ECTMRA: Energy Conserving Trustworthy Multipath Routing Algorithm Based on Cuckoo Search Algorithm Wireless Personal Communications, 2017 DOI:10.1007/s11277-016-3378-6

[10]	Quality of Service of Routing Protocols in Wireless Sensor Networks: A Review IEEE Access, 2017 DOI:10.1109/ACCESS.2017.2654356

[11]	An optimized QoS-based clustering with multipath routing protocol for Wireless Sensor Networks Journal of King Saud University - Computer and Information Sciences, 2017 DOI:10.1016/j.jksuci.2017.11.007

[12]	A brief review of WSN energy and routing protocols 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2017 DOI:10.1109/I-SMAC.2017.8058299

[13]	Cluster Based Multipath Routing Protocol for Wireless Sensor Networks ACM SIGCOMM Computer Communication Review, 2015 DOI:10.1145/2766330.2766333

[14]	Cluster Based Multipath Routing Protocol for Wireless Sensor Networks ACM SIGCOMM Computer Communication Review, 2015 DOI:10.1145/2766330.2766333

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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