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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CSTNWS9R440
Srinivasaraju Dantuluri
Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a combat zone. The intrusion detection is defined as machinery for a WSN to detect the subsistence of unfortunate, incorrect, or anomalous moving attackers. For this purpose, it is a fundamental issue to differentiate the WSN parameters such as node density and sensing range in terms of a desirable detection probability. In this paper, we consider this issue according to two WSN models: homogeneous and heterogeneous WSN. Furthermore, we derive the detection possibility by considering two sensing models: single-singing detection and multiple-sensing detection. In addition, we converse the network connectivity and broadcast reach ability, which are necessary conditions to make certain the corresponding detection probability in a WSN. Our simulation results validate the analytical values for both homogeneous and heterogeneous WSNs.
Srinivasaraju Dantuluri. 2013. \u201cIntrusion Detection in Homogeneous and Heterogeneous Wireless Sensor Networks (WSN)\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E7): .
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Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Neural Networks and Rules-based Systems used to Find Rational and
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Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a combat zone. The intrusion detection is defined as machinery for a WSN to detect the subsistence of unfortunate, incorrect, or anomalous moving attackers. For this purpose, it is a fundamental issue to differentiate the WSN parameters such as node density and sensing range in terms of a desirable detection probability. In this paper, we consider this issue according to two WSN models: homogeneous and heterogeneous WSN. Furthermore, we derive the detection possibility by considering two sensing models: single-singing detection and multiple-sensing detection. In addition, we converse the network connectivity and broadcast reach ability, which are necessary conditions to make certain the corresponding detection probability in a WSN. Our simulation results validate the analytical values for both homogeneous and heterogeneous WSNs.
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