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 scheme named Opportunistic Localization by Topology Management (OLTC), specifically for sparse Underwater Sensor Networks (UWSNs). During a UWSN, an unlocalized sensor node finds its location by utilizing the spatio-temporal relation with the reference nodes. Generally, UWSNs are sparsely deployed as a result of of the high implementation cost, and unfortunately, the network topology experiences partitioning due to the effect of passive node mobility. Consequently, most of the underwater sensor nodes lack the desired number of reference nodes for localization in underwater environments. The existing literature is deficient in addressing the problem of node localization in the higher than mentioned state of affairs. Antagonistically, however, we promote that even in such sparse UWSN context, it's possible to localize the nodes by exploiting their accessible opportunities. We formulate a game-theoretic model primarily based on the Single-Leader-Multi-Follower Stackelberg game for topology management of the unlocalized and localized nodes. We additionally prove that each the players choose methods to achieve a socially optimal Stackelberg-Nash-Cournot Equilibrium. NS-3 based mostly simulation results indicate that the localization coverage of the network increases upto 1.5 times compared to the existing state-of-the-art. The energy-efficiency of OLTC has also been established.

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