Survey of location-centric target tracking with mobile elements in wireless sensor networks

介绍目标跟踪的过程以及移动跟踪的特点;通过区分目标定位为主的方法和目标探测为主的方法,介绍定位为主的移动式目标跟踪方法(称为目标的移动式定位跟踪; )的研究现状;分析和比较不同方法的特点和应用领域,发现现有方法虽然可以提高跟踪质量、降低网络整体能耗,但是还存在一些问题。基于此,总结目标的移动; 式定位跟踪方法在方法类型、网络结构和节点模型等方面可能存在的研究热点,指出其研究和发展趋势。The basic process of target tracking and the properties of tracking; solutions with mobile elements were introduced. By distinguishing; location-centric methods and detection-centric methods, the current; research status of the location-centric target tracking methods were; reviewed. The properties and application fields of different solutions; were analyzed and compared. Although the existing solutions can; significantly improve tracking quality and reduce energy consumption of; the whole network, there are also some problems. Based on these; discoveries, some possible research hotspots of mobile solutions were; summarized in many aspects, such as method types, network architecture,; node model, and so on, indicating the future direction of research and; development.国家自然科学基金资助项目; 国家科技支撑计划项

Operational Design And Modelling Of Fire Event Tracking System In Wireless Sensor Networks

In recent years, WSNs have been widely used for monitoring of environmental changes as they are capable of combining their sensing of a phenomenon with their computational functions and operate with limited resources to accomplish an intended task. Sensors can cooperatively monitor the surrounding environment and provide data that help in realizing the time evolution of the phenomenon and anticipating its effects. Consequently, such information would facilitate performing control actions that meet the predetermined goals. As distributed computing enables the exchange of real time data statistics obtained from various sources that need to be combined together to infer real abnormal conditions for management decisions. As tracking of an event depends on the event type, high-accuracy localization of an event such as fire is a serious challenge, where most of traditional detection systems depend on visualization (cameras) in making their control decision. Moreover, those systems concern the continuous detection of fire and do not provide reliable and feasible mechanism for tracking fire spread. This paper presents the design and modelling of a fire event tracking system that consists of indoor distributed sensor nodes and a powerful intelligent processing unit (controller) to detect fire events and compute information to provide desired safety decisions. Whenever the temperature in a premise increases, the system deploys cooperative centralized control functions to collect and process data statistics related to the fire. It exchanges direction, velocity, and/or position to take proper decision such as evacuating people from fire areas to a safe exit

Research Advance of Target Tracking with Mobile Elements in Heterogeneous Wireless Sensor Networks

传统固定无线传感器网络在进行目标跟踪过程中面临跟踪质量较低、网络能耗较高等问题.引入移动节点后所组成的异构无线传感器网络提供了新的解决方法,即移; 动式目标跟踪.目前的研究大多对被跟踪目标的探测和定位混为一谈,本文区分了以探测为主和以定位为主的两类方法,着重介绍以探测为主的移动式目标跟踪方法; 的研究现状.通过对比现有方法在跟踪质量和网络能耗等方面的优缺点,揭示了现有研究存在的问题.总结了移动式目标跟踪领域存在的研究热点和趋势.Traditional stationary wireless sensor networks usually encounter some; problems during the process of target tracking,such as low tracking; quality, high energy consumption and so on. More and more mobile; elements, i. e., mobile sensors, are used to build up heterogeneous; wireless sensor networks and thus bring new solutionsfor target; tracking. Existing researches usually misidentify detecting the target; with locating the target. After distinguishing between detection-centric; and localization-centric methods,we review specifically the current; research status of the detection-centric target tracking methods. By; comparing existing methods'merit and demeritin aspects like tracking; quality, energy consumption, etc.,their problems are revealed.; Therefore, we summarize some possible research hotspotsand tendency of; mobile solutions in many aspects.国家自然科学基金重点项目; 国家科技支撑计划项目; 国家自然科学基金项目; 福建省自然科学基金计划项

Ant colony optimization approaches in wireless sensor network: Performance evaluation

Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the approaches used to extend WSN capabilities because its heuristic nature is very suitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN

COMVIVOR: An Evolutionary Communication Framework Based on Survivors’ Devices Reuse

International audienceMobile devices currently available on the market have a plethoraof features and enough computing power to make them, at the same time,information consumers, forwarders and producers. Since they are also providedwith a set of sensors and usually battery operating, they are perfect candidatesto devise a network infrastructure tailored to function during disruptive events.When everything else fails, they could autonomously reorganize and provide tothe civilians and rescue teams valuable services and information. In this paperwe adapt and enhance a previous designed framework, capable to epidemicallydiuse the proper software updates to its nodes, in order to deploy any kind ofservice as a prompt response to the needs raised in emergency situations. Wefurther propose and integrate a new smart positioning strategy, to speed up thediusion of software updates by also keeping under control the overall networkoverhead. The achieved results show the feasibility of our proposal and howthe dynamics of diusion are enhanced by the smart positioning algorithm

Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization

International audienceIn mobile sensor networks, it is important to manage the mobility of the nodes in order to improve the performances of the network. This paper addresses the problem of single target tracking in controlled mobility sensor networks. The proposed method consists of estimating the current position of a single target. Estimated positions are then used to predict the following location of the target. Once an area of interest is defined, the proposed approach consists of moving the mobile nodes in order to cover it in an optimal way. It thus defines a strategy for choosing the set of new sensors locations. Each node is then assigned one position within the set in the way to minimize the total traveled distance by the nodes. While the estimation and the prediction phases are performed using the interval theory, relocating nodes employs the ant colony optimization algorithm. Simulations results corroborate the efficiency of the proposed method compared to the target tracking methods considered for networks with static nodes