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Wireless Sensor Network (WSN) forms an essential part of IoT. It is embedded in the target environment to observe the physical parameters based on the type of application. Sensor nodes in WSN are constrained by different features such as memory, bandwidth, energy, and its processing capabilities. In WSN, data transmission process consumes the maximum amount of energy than sensing and processing of the sensors. So, diverse clustering and data aggregation techniques are designed to achieve excellent energy efficiency in WSN. In this view, the current research article presents a novel Type II Fuzzy Logic-based Cluster Head selection with Low Complexity Data Aggregation (T2FLCH-LCDA) technique for WSN. The presented model involves a two-stage process such as clustering and data aggregation. Initially, three input parameters such as residual energy, distance to Base Station (BS), and node centrality are used in T2FLCH technique for CH selection and cluster construction. Besides, the LCDA technique which follows Dictionary Based Encoding (DBE) process is used to perform the data aggregation at CHs. Finally, the aggregated data is transmitted to the BS where it achieves energy efficiency. The experimental validation of the T2FLCH-LCDA technique was executed under three different scenarios based on the position of BS. The experimental results revealed that the T2FLCH-LCDA technique achieved maximum energy efficiency, lifetime, Compression Ratio (CR), and power saving than the compared methods.

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Detection of a cloned node intruder in Homogenous Wireless Sensor Networks has many useful applications in terms that they can be deployed in war zones for detecting intruder (enemies) and uniquely identifies them which help in preventing any harmful situation they can create when they continue to exist inside the system. This intrusion detection system is used to identify the mismatched, malicious, non-orientable nodes and false committing nodes. This paper, proposes a novel hub clone location convention method with various tradeoffs of execution and arranged conditions. First depends on a conveyed hash table, by which a completely decentralized, key-based storing and checking framework is developed to get cloned hubs successfully. Second depends on dispersed recognition convention, named arbitrarily coordinated investigation, introduces great correspondence execution for thick sensor systems, by a probabilistic coordinated sending method alongside irregular starting bearing and fringe assurance. The reproduction comes about maintain the convention outline and demonstrate its effectiveness on correspondence overhead and attractive identification probability.