A Distributed Scalar Controller Selection Scheme for Redundant Data Elimination in Sensor Networks

A Distributed Scalar Controller Selection Scheme for Redundant Data Elimination in Sensor Networks

Sushree Bibhuprada B. Priyadarshini (VSSUT, Department of Computer Science and Engineering, Burla, India) and Suvasini Panigrahi (VSSUT, Department of Computer Science and Engineering, Burla, India)
Copyright: © 2017 |Pages: 14
DOI: 10.4018/IJKDB.2017010107

Abstract

This research presents a novel distributed strategy for actuation of reduced number of cameras motivated by scalar controller selection for eliminating the amount of redundant data transmission taking place in any geographic zone under speculation. The proposed framework is based on dividing the monitored region into a number of virtual compartments. A scalar controller is selected in each of the compartments, which is chosen in such a manner that its distance is the minimum among all the scalars from the central point of the concerned compartment. Further, all the cameras are arranged in a predetermined circular fashion. Whenever, an event takes place, the scalar controllers inform their respective cameras regarding its occurrence. The cameras collaboratively exchange information among themselves for deciding which among them are to be actuated. The least camera activation, enhanced coverage ratio, minimized redundancy ratio, reduced energy and power expenditure obtained from the experimental outcomes affirm the effectiveness of our proposed method over other approaches.
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Introduction

In recent framework of expeditive technological proliferation, the uses of sensors have nurtured transformative refinement in almost all circles of life. At present, sensor network is an alluring area of research in the field of communication due to its broad range of accelerative growth starting from habitat monitoring to military application prospects. Basically, two types of sensors are deployed in an area of interest ˗ scalars and cameras. Scalars can capture the textual information whereas cameras can ensnare both audio as well as video information. Moreover, camera sensors have two basic parameters namely: field of view (FOV) and depth of field (DOF). FOV is the angle at which a camera can capture the accurate image of an object and DOF is the distance within which a camera can trap the accurate image of an object. Basically, while considering the case of wireless sensor ambiance, effective event tracking is both an alluring and crucial domain of research during the time of considering the case of a geographic region under speculation as discussed by Bhoi, Panda and Khilar (2012). However, in the event of failure of nodes, it becomes quite hectic to monitor the occurring event effectively. The prime goal lying in this approach is to manifest a density based cluster by employing density based clustering scheme. Likewise, another approach demonstrated by Bhoi, Panda and Khilar (2012) considers that while considering the case of wireless ambiance involves a fault tolerance technique and attains the desired area coverage while incorporating the scenario of both single point and multi-point failure. Therefore, to ascertain efficient event tracking, the role of sensors is very significant enough for accuracy and reliability during the time of ensnaring the prevailing event in any monitored event zone under speculation.

Generally, the deployed sensors have limited battery power. Since the cameras consume more amount of energy than the scalars, hence they are kept in turned off state. Whenever an event is detected by the scalar sensors within the purview of cameras, it undergoes activation. However, the problem is that while considering the camera activation, overlapping takes place among the FOVs of camera sensors. As a result the scalar sensors present at these overlapping regions communicate the same event information multiple times to camera sensors. This redundant data transmission results in undesired energy and power expenditure.

The main objectives of our current research can be established as follows:

  • Activation of reduced number of cameras so as to minimize the amount of energy and power consumption for camera activation;

  • Elimination of redundant data transmission due to the overlapping of FOVs of cameras for averting repeated event reporting;

  • Enhancing the coverage of prevailing event region for improving the accuracy of the captured event information.

The organization of this paper is as follows: in the next section, we have summarized the related work. Section 3 discusses the details of the proposed methodology. Subsequently, in section 4, we have elaborated the experimental results obtained from the investigation and validated the superiority of our proposal over other methods. Finally, in section 5, we have concluded our paper.

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