2020 IEEE 23rd International Multitopic Conference (INMIC) 2020
DOI: 10.1109/inmic50486.2020.9318105
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A Bio-Inspired Technique based on Knowledge Discovery for Routing in IoT Networks

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Cited by 4 publications
(11 citation statements)
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“…e energy expended in transitions among states is E i . e amount of energy spent E Tx (L, dist (kn,unk) ) by the node to transmit a packet size of L bit length is (13). state (k) is the energy condition of the sensor hub during the time period, rest, or transmission.…”
Section: Fitness Function Evaluationmentioning
confidence: 99%
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“…e energy expended in transitions among states is E i . e amount of energy spent E Tx (L, dist (kn,unk) ) by the node to transmit a packet size of L bit length is (13). state (k) is the energy condition of the sensor hub during the time period, rest, or transmission.…”
Section: Fitness Function Evaluationmentioning
confidence: 99%
“…In this research article, algorithms developed for localization are utilized to limit the mistake of arbitrarily dispersed WSNs through some modest number of anchor sensors, and in any case, the ideal deployment areas for these sensors will be found by understanding the evolutionary algorithm. The quantity of associated beacon nodes is one of the main elements influencing the system accuracy for the localization algorithm, whether or not it is the range-based estimation or range-free factors [ 13 , 14 ]. Enough-associated known nodes permit more prominent position exactness.…”
Section: Introductionmentioning
confidence: 99%
“…However, equal cluster size must be assured at some point in the clustering process. Taking one cluster into consideration, the sensor nodes are however placed in order to minimize (14), that is, the Euclidean distance between the location points and their immediate central point. erefore, if the location point is initiated with a sensing range R in a deployment area consisting of energized sensors at the central point, then it is said to be covered.…”
Section: Clustering Modelmentioning
confidence: 99%
“…However, these energetic neighboring points could be the position of a node without location which could be activated using the position of a known node. is distance is given in (14).…”
Section: Distance Estimationmentioning
confidence: 99%
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