A Genetic Algorithm Inspired Load Balancing Protocol for Congestion Control in Wireless Sensor Networks using Trust Based Routing Framework (GACCTR)
TL;DR: A new congestion control protocol for balanced distribution of traffic among the different paths existing between the Source node and the Sink node in accordance to the different route trust values is proposed.
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Abstract: Wireless Sensors Networks are ext remely densely populated and have to handle large bursts of data during emergency or high activity periods giving rise to congestion which may disrupt normal operation. Our paper proposes a new congestion control protocol for balanced distribution of traffic among the different paths existing between the Source node and the Sink node in accordance to the different route trust values. This probabilistic method of data transmission through the various alternate routes can be appropriately modeled with the help of Genetic Algorithms. Our protocol is mainly targeted in selecting the reliable or trustworthy routes more frequently than the unreliable ones. In addition, it also prevents concentration of the entire data traffic through a single route eliminating any possible occurrence of bottleneck. The merits of our protocol in comparison to the presently existing routing protocols are justified through the simu lation results obtained which show improvements in both the percentage ratio of successful transmission of data packets to the total number of data packets sent and the overall network lifetime.
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Citations
A Systematic Review of Quality of Service in Wireless Sensor Networks using Machine Learning: Recent Trend and Future Vision
TL;DR: A statistical analysis of the past ten years ranging from 2011 to 2020 on various ML techniques used for the QoS parameters in the light of Machine Learning (ML) techniques is presented.
109
An energy efficient and optimized load balanced localization method using CDS with one-hop neighbourhood and genetic algorithm in WSNs
TL;DR: The proposed algorithm balances the computational load among anchor nodes for location calculation of unknown nodes for network lifetime improvement and has been optimized using genetic algorithm.
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Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web Search
TL;DR: The main challengeﻷ toﻴ effectiveﻵ effective information� informationｿretrievalﻅ isﻹ to be Optimizedﻡ theﻢpageﻱrankingﻰ in orderﻑ toｽ retrieveﻀrelevantﻩdocumentsﻙs forﻳ userﻪ userｷ user
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Improved Location Estimation in Wireless Sensor Networks Using a Vector-Based Swarm Optimized Connected Dominating Set.
Gulshan Kumar,Rahul Saha,Mritunjay Kumar Rai,Reji Thomas,Tai-hoon Kim,Se-Jung Lim,Jai Sukh Paul Singh +6 more
TL;DR: An algorithm that balances the load of computation for location estimation among the anchor nodes on the connected dominating set, consisting of anchor nodes, is proposed and significantly improves the network lifetime and reduces the location estimation error.
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Application of hybrid of Fuzzy Set, Trust and Genetic Algorithm in query log mining for effective Information Retrieval
TL;DR: In this paper, a hybrid of Fuzzy Set, Genetic Algorithm (GA) and Trust has been used together in query log mining for personalized web search based on using fuzzy queries for recommendation of optimal set of trusted documents.
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Genetic algorithms in search, optimization, and machine learning
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Y. Sankarasubramaniam,Ozgur B. Akan,Ian F. Akyildiz +2 more
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TL;DR: A new reliable transport scheme for WSN, the event-to-sink reliable transport (ESRT) protocol, is presented in this paper, a novel transport solution developed to achieve reliable event detection in WSN with minimum energy expenditure.
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Event-to-sink reliable transport in wireless sensor networks
Ozgur B. Akan,Ian F. Akyildiz +1 more
TL;DR: A new reliable transport scheme for WSN, the event-to-sink reliable transport (ESRT) protocol, is presented in this paper, a novel transport solution developed to achieve reliable event detection in WSN with minimum energy expenditure.
A Direct Trust dependent Link State Routing Protocol Using Route Trusts for WSNs (DTLSRP)
TL;DR: This paper presents a direct trust dependent link state routing using route trusts which protects WSNs against routing attacks by eliminating the un-trusted nodes before making routes and finding best trustworthy route among them.
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