BITS Faculty Publications
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Item A novel approach for energy-efficient communication in a constrained IoT environment(IEEE, 2024-07) Haribabu, K.In the realm of the Internet of Things (IoTs) and wireless sensor networks (WSNs), two key concerns are improving security and energy efficiency. One approach to enhancing network longevity is through the implementation of clustering, which involves managing cluster heads. In this study, the authors proposed two variants of a novel algorithm for energy efficient communication in a constrained IoT environment. One variant considers the node degree while the other doesn’t consider it to improve the round speed by eliminating mandatory re-election processes. Both variants also eliminate the selection of zero cluster heads problem, specifically at the beginning or towards the end of the network. Additionally, the authors tested the performance of proposed variants against several well known algorithms based on various factors such as operating nodes, number of clusters, transmission energy, remaining energy using MATLAB simulation environment. These comparisons will give us a crucial insight into the working of the proposed algorithm and question its applicability in the real world. The results of this comparison are promising, as the proposed variant with node degree outperforms other algorithms.Item An energy efficient data transmission approach in smart IOT systems(IEEE, 2024-07) Haribabu, K.Improving energy efficiency and maximizing network longevity are two pressing issues in the Internet of Things (IoT) and wireless sensor networks (WSN). Clustering aids in enhancing energy efficiency and extending network life. A cluster head is selected in each cluster to collect and aggregate data from its cluster members. While electing appropriate nodes as cluster heads is important, associating nodes with the elected cluster heads is another component that can aid improve the network’s longevity. In this study, the authors proposed a new algorithm belonging to the family of local search problems for performing connection migration of nodes between different cluster heads. Furthermore, the simulation environment and the toolkit developed to evaluate several Cluster Head algorithms in this simulation environment have both been presented in detail.Item Energy efficient data communication for WSN based resource constrained IoT devices(Elsevier, 2024-10) Haribabu, K.In the Internet of Things (IoTs) and wireless sensor networks (WSNs), improving security and energy efficiency are key concerns. Clustering, which involves managing cluster heads, plays a pivotal role in extending network lifetime. The selection of a cluster head, responsible for data transfer between nodes, is a key aspect of network management. This paper proposes two variants of a novel algorithm designed for energy efficient communication in a resource constrained IoT environments. One variant considers remaining energy, distance, and node degree for cluster head selection, while the other focuses on remaining energy and distance only. Including node degree ensures cluster heads do not waste energy by remaining idle or performing unnecessary tasks such as the cluster head selection process in every round. The authors tested these variants against several well known algorithms using MATLAB simulation environment, evaluating factors such as operating nodes, number of clusters, transmission energy, and remaining energy. The proposed algorithm extends network lifetime by maintaining more operating nodes for longer, not changing clusters or cluster heads frequently, minimizing energy consumption for transmission, and conserving more remaining energy. Consequently, the proposed algorithm outperforms existing approaches by addressing issues like zero cluster head selection, compulsory cluster head selection in every round, avoiding cluster heads that connect to no nodes, and preventing network destabilization due to unnecessary re-elections.