Faculty Publications
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Publications by NITK Faculty
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Item Life time enhancement of wireless Sensor Network using fuzzy c-means clustering algorithm(Institute of Electrical and Electronics Engineers Inc., 2014) Kumar, P.; Chaturvedi, A.The major issues in wireless Sensor Networks (WSNs) are efficient uses of limited resources and appropriate routing of network paths under severely constrained energy scenarios. To overcome these issues; k-means and fuzzy c-means algorithms are investigated to form clusters and for subsequent selection of cluster heads. For all these clusters; selection of cluster head is done based on member sensor nodes residual energy status (RES) and estimation of Euclidean distances. Depending upon the Euclidean distance measure between the sink node and center of gravity of clusters; these clusters are classified into five types. Further, RES estimations are presented for cluster heads as well simple sensor network nodes. © 2014 IEEE.Item Performance measures of fuzzy C-means algorithm in wireless sensor networks(Inderscience Publishers, 2017) Kumar, P.; Chaturvedi, A.The major issues that govern performance of wireless sensor networks (WSNs) are efficient uses of limited resources and appropriate routing decisions of network paths under the severely constrained energy scenario. In this work, to address these issues uses of k-means and fuzzy C-means algorithms are investigated for clusters formation and subsequent selection of cluster heads (CHs). For all these newly formed clusters; selection of cluster head is done based on member sensor nodes residual energy status (RES) followed by estimation of Euclidean distances. Depending upon the Euclidean distance measures between the sink node and the estimated energy-centroid (EC) of clusters these clusters are classified into five types. The RES estimation is exercised for all the CHs and sensor nodes (SNs) of the network. Outcomes of simulation results indicate superior performance of fuzzy-c means algorithm compared to k-means algorithm. Further, a case study is presented, wherein the sink is allowed to have some movements in the service area. Here, different quadrant of service area exhibits different pattern of query spatial distribution. The optimal location of sink is sought to support energy efficient operational aspects of the WSNs. © © 2017 Inderscience Enterprises Ltd.Item A geographical location aware energy efficient routing scheme for query based Wireless Sensor Networks(2013) Kumar, P.; Chaturvedi, A.; Shrivastava, S.In this paper, a geographical location based routing scheme is proposed that works effectively for different hierarchical networks and thus supports an important aspect of network scalability. Further, herein a heuristic is proposed that minimizes the occurrence of hot spot to improve the overall life time of Wireless Sensor Networks (WSNs). This utilizes residual energy estimation based on energy of each sensor node. Its implementation mainly comprises of the geographical location of each sensor in Binary Location Index (BLI) representation form, precise updates about the link with shortest path, and coverage of the each sensor; the method which is without change of cluster head is compared with the change of cluster head based on BLI for fixed single sink.Item Location movement and multiplicity attributes of sink in query-based wireless sensor networks(Inderscience Publishers, 2015) Kumar, P.; Chaturvedi, A.The principal issue in wireless sensor networks (WSNs) is the efficient use of finite energy of each sensor node as it predominantly influences the life time of WSN. In this work, we proposed four case studies on a typical square shape geographical area. In all these cases, the network architecture is hierarchical and same network environment is considered. These cases differ from each other on sink node(s) features viz. single/multiple, optimality of locations and stationary/moveable. As sink node plays an important role in a bridging the communication between the remote entities (sensor nodes) and access points/users; the proposed algorithms are formulated by keeping sink node(s) in centre stage. Further, the paper concludes by comparing various outcome measures like number of queries supported, average residual energy status (RES) estimation that directly impact the 'hot spot' phenomenon, thus enhances network life time while ensuring avoidance of 'islanding' and still adhere to energy efficient usage of network resources. © © 2015 Inderscience Enterprises Ltd.