Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

FANET: Efficient Routing in Flying Ad Hoc Networks (FANETs) Using Firefly Algorithm

Abstract: In recent years, the use of emerging technologies and the role of flying ad hoc networks (FANETs) have rapidly changed. Flying ad hoc networks are generally used in different areas such as media, agriculture, business, entertainment, security services, and various emergency services. Flying ad hoc network provides highly dynamic environments. The unmanned aerial vehicles (UAV) depend on nodes (packets) where nodes are moving very fast and thus packets loss during transmission. In this paper, define an approach that is based on the firefly algorithm (FA). The proposed algorithm applied the firefly algorithm’s idea on flying ad hoc networks where geographical position mobility-oriented routing protocol (GPMOR) objectives to reduce the number of hops based on Gauss Markov (GM) mobility model. It improves the performance of routing by efficient packets.

An Improved Hierarchical Clustering Method for Mobile Wireless Sensor Network Using Type-2 Fuzzy Logic

Abstract: Energy consumption in a sensor network plays a critical role while designing the network as wireless sensor networks (WSNs) work in an unattended environment where the human approach is not possible. To over- come the energy consumption issue, a powerful method i.e. clustering is used in order to improve the scalability and lifespan of the sensor network. But, in mobile WSNs (MWSNs) due to the movement of the sensor nodes (SNs) packet loss arise and hence is a major problem for MWSNs. To overwhelm this problem, current researchers have proposed many clustering schemes for MWSNs considering the mobility of SNs into account, but many of the given schemes overload the cluster head (CH). To conquer this problem in WSN, many researchers gave the idea of using fuzzy logic (FL) for MWSNs for electing the appropriate CH. A SN that is elected as CH on the basis of FL is ef- ficient in terms of flexibility and have the ability to distribute the load among SNs equally thus can enhance the lifetime of the sensor network. In this paper, an improved hierarchical clustering method for MWSN using Type-2 FL (T2FL) named LEACH-MT2FL is proposed to enhance the lifetime of SNs and also reduce the packet loss. Simulation results of this proposed approach show that it is better than existing ones in terms of the network lifetime, energy consumption, and packet delivery ratio. Also, simulation results show that LEACH- MT2FL with FOU 0.7 performs well than LEACH-MF.

An Improved Substitution Method for Data Encryption Using DNA Sequence and CDMB

Abstract: Cryptography provides the solution in fields such as banking services, digital certificate, digital signature, message and image encryption etc. In this paper, we propose an improved data encryption approach based on the Deoxyribonucleic acid that exploits two different techniques: Substitution technique and Central Dogma of Molecular Biology. It transforms the message into protein (cipher text) using various complementary rules. Deoxyribonucleic acid provides robust DNA sequence for the substitution technique from approximately 163 million huge DNA database, where Central Dogma of Molecular Biology support the encrypted output of substitution method using transcription and translation technique.