Game-Theoretic Topology Controlfor Opportunistic Localizationin Sparse Underwater Sensor Networks - 2015

PROJECT TITLE:

Game-Theoretic Topology Controlfor Opportunistic Localizationin Sparse Underwater Sensor Networks - 2015

ABSTRACT:

In this paper, we propose a localization theme named Opportunistic Localization by Topology Control (OLTC), specifically for sparse Underwater Sensor Networks (UWSNs). In a UWSN, an unlocalized sensor node finds its location by utilizing the spatio-temporal relation with the reference nodes. Generally, UWSNs are sparsely deployed because of the high implementation price, and sadly, the network topology experiences partitioning due to the impact of passive node mobility. Consequently, most of the underwater sensor nodes lack the desired range of reference nodes for localization in underwater environments. The existing literature is deficient in addressing the matter of node localization within the higher than mentioned state of affairs. Antagonistically, however, we promote that even in such sparse UWSN context, it is potential to localize the nodes by exploiting their available opportunities. We have a tendency to formulate a game-theoretic model primarily based on the Single-Leader-Multi-Follower Stackelberg game for topology control of the unlocalized and localized nodes. We tend to additionally prove that each the players choose methods to reach a socially optimal Stackelberg-Nash-Cournot Equilibrium. NS-three based simulation results indicate that the localization coverage of the network increases upto 1.five times compared to the prevailing state-of-the-art. The energy-potency of OLTC has conjointly been established.

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