Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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CSTNWS78X72
Neelu Rajput
Dr. Naveen Choudhary
Wireless Sensor Network consists of large number of tiny sensor nodes (Tsodes) distributed in an area, having insufficient processing power, communicating over a network. These Tsodes are circulated in given network environment so that they gather data, process that data and send it to the destination. Rising large applications need to transport massive data packets to the sink node from different sensor nodes without having much loss of data packets in the network. Network must be escaped from the congestion, occurs usually at the Tsodes nearer to base station / sink node. Congestion not only causes packet loss, but also leads to unnecessary energy consumption as well as delay. Therefore, in order to extend network lifetime and improve fairness and provide better quality of service, developing a novel solution for congestion estimation and control is important to be considered. This paper proposes a approach of packet level priority for controlling the congestion in WSN. It uses the hop count value and the distance vector among sink and Tsodes. The technique avoids the congestion faster and improves the overall network throughput and delay too for WSN.
Neelu Rajput. 2014. \u201cLonger Distance Hop Count BasedPriority Congestion Control Technique for Wireless Sensor Networks\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E4): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Wireless Sensor Network consists of large number of tiny sensor nodes (Tsodes) distributed in an area, having insufficient processing power, communicating over a network. These Tsodes are circulated in given network environment so that they gather data, process that data and send it to the destination. Rising large applications need to transport massive data packets to the sink node from different sensor nodes without having much loss of data packets in the network. Network must be escaped from the congestion, occurs usually at the Tsodes nearer to base station / sink node. Congestion not only causes packet loss, but also leads to unnecessary energy consumption as well as delay. Therefore, in order to extend network lifetime and improve fairness and provide better quality of service, developing a novel solution for congestion estimation and control is important to be considered. This paper proposes a approach of packet level priority for controlling the congestion in WSN. It uses the hop count value and the distance vector among sink and Tsodes. The technique avoids the congestion faster and improves the overall network throughput and delay too for WSN.
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