Closed Peripheral Coverage in Wireless Multimedia Sensor Networks

Amor Lalama, N. Khernane, A. Mostefaoui
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引用次数: 5

Abstract

Because of the visual nature (images and videos) of the captured data, the coverage problem in Wireless Multimedia Sensor Networks (WMSNs) is totally different from traditional scalar sensor networks and can be defined in several ways according to the target application. In this paper, we focus on one particular coverage, we called Closed Peripheral Coverage (CPC). This type of coverage is present in several realistic application as military camp surveillance, very sensitive buildings (i.e., nuclear center) surveillance, contaminated region monitoring, etc. The objective hence is to detect any intrusion coming from the outside (viewed by at least one multimedia sensor node). To the best of our knowledge, this is the first research work addressing this issue. Briefly, CPC problem can be defined as follow: after a random deployment of multimedia sensor nodes around the region of interest (i.e., Building to monitor), the goal is to schedule several sets of nodes (i.e., cover sets) such that each of which forms a closed "ring" around the region of interest. Hence, instead activating all nodes at once, the cover sets are scheduled to be activated serially, which ensures a significant network lifetime prolongation improvement. In this paper, we study the CPC problem and present two variants of a centralized algorithm. The preliminary simulation results show clearly the effectiveness of the proposed approaches by a factor varied from 2 to 8 in comparison to the basic approach.
无线多媒体传感器网络中的封闭外围覆盖
由于捕获数据的视觉性(图像和视频),无线多媒体传感器网络(WMSNs)中的覆盖问题与传统的标量传感器网络完全不同,可以根据目标应用的不同采用多种方式进行定义。在本文中,我们关注一个特定的覆盖,我们称之为封闭外围覆盖(CPC)。这种类型的覆盖存在于几个实际应用中,如军营监视,非常敏感的建筑物(即核中心)监视,污染区域监测等。因此,目标是检测来自外部的任何入侵(至少由一个多媒体传感器节点查看)。据我们所知,这是第一个针对这个问题的研究工作。简单地说,CPC问题可以定义如下:在感兴趣的区域(即建立监控)周围随机部署多媒体传感器节点后,目标是调度几组节点(即覆盖集),使每个节点在感兴趣的区域周围形成一个封闭的“环”。因此,不是一次激活所有节点,而是计划依次激活覆盖集,这确保了显著的网络生命周期延长改进。本文研究了CPC问题,并提出了一种集中式算法的两种变体。初步的仿真结果表明,与基本方法相比,所提方法的有效性提高了2 ~ 8倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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