http://192.168.29.201:8080/xmlui/handle/123456789/38 ECE 2026-05-27T17:10:25Z http://192.168.29.201:8080/xmlui/handle/123456789/507 Title: Efficient Clustering using Fuzzy Logic in the Wireless Sensor Networks Authors: Rehman, Mukeem Ur Abstract: In Wireless Sensor Networks (WSNs), power efficiency is one of the most essential factors influencing the networks’ performance. Through a properly designed routing set of rules, WSNs’ energy performance may be advanced evidently. Among diverse routing algorithms, hierarchical routing algorithms have blessings in improving nets’ robustness and flexibility, and it's miles more appropriate for large scale of networks. In this paper, a few standard hierarchical routing algorithms are delivered, and their blessings and defects are analyzed. Based on these analyses, a brand new hierarchical routing set of rules with excessive electricity efficiency named EESSC is proposed that is based at the advanced HAC clustering method. In EESSC, the sensor nodes’ residual electricity could be taken into consideration in clustering operation, and a unique packet head is described to help replace nodes’ strength statistics whilst transmitting message the various nodes. When the clusters had been formed, the nodes in cluster might be arrayed in a list and cluster head would be rotated automatically with the aid of the order of listing. And a re-cluster mechanism is designed to dynamic alter the result of clustering to make sensor nodes corporation greater affordable. At final, EESSC is compared to different normal hierarchical routing algorithms in a sequence of experiments, and the experiments’ result which proves that EESSC has manifestly stepped forward the WSNs’ power efficiency has been analyzed. 2019-06-01T00:00:00Z http://192.168.29.201:8080/xmlui/handle/123456789/506 Title: A Novel Approach For Reducing Energy Consumpiton In Routing Protocol For Clustered Wireless Sensor Networks Authors: Pandey, Amitosh 2019-06-01T00:00:00Z http://192.168.29.201:8080/xmlui/handle/123456789/497 Title: Improvement In Quality Of Service In Iot Enabled Applications Authors: Verma, Shivangi Abstract: The scope of internet is expanding beyond computing and computer devices being connected. It is envisaged to provide advanced level of services to society, businesses, etc. Internet of Things connects everyday ‘things’ embedded with sensors and electronic software to the internet enabling them to collect and exchange data. IOT will lead to unification of technologies viz. cloud computing, low power embedded systems, machine learning, big data and networking; and an era of ubiquity which means connectivity at anyplace and anytime. An enormous amount of data would be generated by billions of users which has to be handled and processed which requires a much wider and more complex network than the present day internet. The heterogeneous networks, gigantic number of links and information exchange within edge nodes in IOT makes the system very complex and hence creates hurdles for satisfaction of the dynamic QoS requirements. In such enormous smart devices connectivity it is of utter important to maintain better quality of service (QoS). This thesis proposes weighted fair queueing based packet scheduling along with dynamic bandwidth allocation based on average queue length to improve the quality of service in IoT enabled applications. This predictive model employs AEWMA (Adaptive Exponentially Moving Average) method for the calculation of average queue length which follows a nonlinear method to find the average queue length so that accidental network bursts can also be considered. The scheduler composes of two different steps: firstly, the weighted fair queueing policy will take the previous slot average queue length into consideration for the calculation of current slot average queue length. Then, the bandwidth will be allocated by multiplying the average queue length (which is calculated based on the current queue size and the previous average queue size) with a coefficient. The proposed approach is tested on network model where we have data ranging from few kilobits to megabits based on which the packet loss, delay and jitter performance of the proposed scheme is measured. 2020-05-01T00:00:00Z http://192.168.29.201:8080/xmlui/handle/123456789/496 Title: “An Advanced Approach For Reducing Energy Consumption In Wireless Sensor Network Authors: Kumar, Abhishek Abstract: The popularity of Wireless Sensor Networks has increased tremendously due to the vast potential of the sensor networks to connect the physical world with the virtual world. Since these devices rely on battery power and they may deploy in hostile environments. Thus, improving the energy of these networks becomes important. Our thesis aims to optimize the energy consumption of wide scale wireless sensor networks by deploying a fraction of nodes with more energy & base station at the edge of the wireless sensor network field and randomize selection of cluster head which provide modification on the traditional clustering of the cells of the network. In our thesis we our load balancing of each cluster in the network by random selection of node as cluster head that may be either advance node (more energy) or normal node. 2020-01-01T00:00:00Z