Faculty Publications

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    Improved Algorithm for Minimum Power 2-Connected Subgraph Problem in Wireless Sensor Networks
    (Institute of Electrical and Electronics Engineers Inc., 2018) Lakshmi, M.; Shetty D, D.
    A Wireless Sensor Network (WSN) consists of small sensor nodes which communicate with each other using wireless radio channel and are used to monitor certain environmental parameters. Since the nodes are powered by a small battery of limited capacity, it is important to minimize the energy consumption in a WSN. By using an appropriate topology the energy utilization of the network can be minimized which results in an increased lifetime of a WSN. In practice, the transmission power of a sensor node can be tuned to obtain a required topology that satisfies certain connectivity constraints and this problem is known as Range Assignment Problem. For a given network, a reduced topology is constructed satisfying some connectivity constraints like k-connectivity, bounded diameter etc. Fault tolerance addresses the issue of node or link failure which aims at k-connectivity so that, the network has at least k vertex disjoint paths between any two nodes of the network. With the motivation of achieving fault tolerant network with minimum transmission energy, we consider Minimum power 2-connected subgraph (MP2CS) problem which is proved to be NP-hard. A polynomial time heuristic is proposed in this paper for the MP2CS problem and simulation is performed to compare with the existing algorithm. © 2018 IEEE.
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    Optimal algorithm for minimizing interference with two power levels in wireless sensor networks
    (Engineering and Technology Publishing, 2019) Lakshmi, M.P.; Shetty D, D.
    Interference is a major hindrance to the communication in wireless sensor networks which needs to be optimized in order to minimize the total power consumption of the network. A sensor node in a WSN is assigned certain transmission range for sensing and transmission of data. If the transmission between any two nodes is affected by a third node, then it leads to interference. Sender interference of a node in WSN is the number of nodes that lie within the transmission range of that vertex. The receiver interference of a node x is the number of other nodes which include x in their transmission range. In recent days WSNs are operated by a discrete set of power levels in which a limited number of power levels are available which can be assigned to a node. The problem of minimizing the maximum sender interference of a WSN using only two power levels is studied in this paper. An optimal algorithm is presented in this paper which assigns transmission power to the sensor nodes of a given network such that the maximum sender interference is minimized and it results in a connected topology. An algorithm for receiver interference is also proposed using a similar concept, and an extensive simulation is performed to compare the maximum sender and receiver interference for the same instances. © 2019 Journal of Communications.