Dingo algorithm-based forwarder selection and huffman coding to improve authentication

<span>In wireless sensor network (WSN), the high volume of observe and transmitted data among nodes make it requires to maintain security. Even though numerous secure transmission approaches designed over a network, an inadequate resource complex environment cause not able used in WSNs. Moreover, communication is big challenging problem WSNs especially for military application. This paper proposes dingo algorithm-based forwarder selection huffman coding (DAHC) improve authentication internet things (IoT) WSN. Initially, detects anomalous by applying support vector machine (SVM) algorithm based on node energy, selfishness, signal noise ratio (SNR). Next, we using select node. computes fitness function degreee, distance energy. Finally, provide end established energy from sender receiver. During transmission, build binary hop count value, improves Performance results specify that this approach enhances detection throughput.</span>