Faculty Publications

Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736

Publications by NITK Faculty

Browse

Filters

2013 - 20152

Settings

Author: search.filters.author.Kumar, P.Subject: search.filters.subject.Life time

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    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.
  • No Thumbnail Available
    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.