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Efficient Cover Set Selection in Wireless Sensor Networks
无线传感器网络中覆盖集的高效选取

JIA Jie,CHEN Jian,CHANG Gui-Ran,WEN Ying-You,
贾杰
,陈剑,常桂然,闻英友

自动化学报 , 2008,
Abstract: The effectiveness of a cluster-based distributed sen-sor network, to a large extent, depends on the coverage provided by the sensor nodes. To activate only the necessary number of sensor nodes at any particular moment is an efficient way to save the overall energy. However, this is an NP-complete prob-lem because of the high-density deployment of wireless sensor networks. In this paper, a novel searching algorithm based on improved NSGA-Ⅱ (elitist nondominated sorting genetic algo-rithm) is proposed to select an optimal cover set. In contrast to the binary detection model used in the previous work, a proba-bilistic detection model is adopted in combination with the de-tection error range and coverage threshold. With the full net-work coverage being guaranteed, a number of nodes are made into dormancy mode to save energy. The circulated combination and delete operators are proposed to enhance the search capabil-ity. Extensive simulation results are presented to demonstrate the effectiveness of our approach.
Impact of Self-Organizing Networks Deployment on Wireless Service Provider Businesses in China  [PDF]
Usman Rauf Kamboh, Qinghai Yang, Meng Qin
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2017, DOI: 10.4236/ijcns.2017.105B008
Abstract:
Decoupling of revenues with network traffic and extreme penetration of expenses in wireless network leads to the critical situation for wireless service providers (WSP), as more wireless network is complex due to its heterogeneity in the context of planning, software & hardware installation, radio parameters setting, drive testing, optimization, healing and maintenance. These operations are time-consuming, labor & budget-intensive and error-prone if activated manually. Hence new approaches have to be designed and applied to meet those demands in a cost-effective way, Self-organizing networks (SON), is a promising approach to handle manual tasks with autonomous manners. More specifically the self-directed functions (self-planning, self-deployment, self-configuration, self-optimization and self-healing) are aid to reduce capital expenditure (CAPEX), implementation expenditure (IMPEX) and operational expenditure (OPEX). In this study, first we investigate the aforementioned impact factors of cost combined with self-functions. Then, we analyze the relative cost benefits causing from deploying the SON functions, using the economical method to have more precise results concerning those potential benefits. At last, the result shows that there is a significant difference in expenses and revenues of WSP with and without SON after enabling self-functions in wireless network.
Simple Subroutine for Inhomogeneous Deployment  [PDF]
Mouhamed Abdulla
Computer Science , 2014, DOI: 10.1109/GIIS.2014.6934284
Abstract: Spatial modeling of wireless networks via analytical means has been considered as a widely practiced mechanism for inference. As a result, some geometrical deployment models have been proposed in literature. Although practical in certain simulation instances, these models do not always produce inhomogeneous nodal geometries in an effective and simple manner for practical deployment situations. Therefore, we conceptualized a flexible approach for realizing random inhomogeneity by proposing the area-specific deployment (ASD) algorithm, which takes into account the clustering tendency of users. Overall, the developed spatial-level network tool has the distinct advantage of automatically producing infinitely many random realizations of users' geometry by simply entering three parameters to the simulator: the size of the cellular network, the number of deployment layers, and the overall quantity of nodes.
A Review on Node Deployment of Wireless Sensor Network  [PDF]
Haitao Zhang,Cuiping Liu
International Journal of Computer Science Issues , 2012,
Abstract: Wireless sensor network (WSN) is nowadays being applied in many different civilian applications like vehicle tracking, habitat monitoring, forest surveillance, earthquake observation, biomedical or health care applications and building surveillance. To a large extent the effectiveness of the wireless sensor networks depends on the coverage provided by the sensor deployment scheme. There are different deployment demands and optimization goals in different environment. In this paper, firstly the existing deployment method of sensor network nodes is summarized and discussed. Then three performance evaluation indexes are analyzed in detail. At last, the main deployment model of sensor network nodes is presented.
Development of a Simulator for Stochastic Deployment of Wireless Sensor Networks  [cached]
Carlos E. Otero,Ivica Kostanic,Luis D. Otero
Journal of Networks , 2009, DOI: 10.4304/jnw.4.8.754-762
Abstract: This paper presents an open framework and detailed procedures for creating simulators that address application-specific deployment of Wireless Sensor Network (WSN). The presented framework and developed models are combined in a deployment simulator. The simulator assists decision-makers in selecting among different WSN deployment alternatives. The outlined software framework serves as a blueprint for creating deployment simulators that take into account application specific factors and may be used for optimization of WSN stochastic deployments.
Probabilistic Dynamic Deployment of Wireless Sensor Networks by Artificial Bee Colony Algorithm  [PDF]
Celal Ozturk,Dervis Karaboga,Beyza Gorkemli
Sensors , 2011, DOI: 10.3390/s110606056
Abstract: As the usage and development of wireless sensor networks are increasing, the problems related to these networks are being realized. Dynamic deployment is one of the main topics that directly affect the performance of the wireless sensor networks. In this paper, the artificial bee colony algorithm is applied to the dynamic deployment of stationary and mobile sensor networks to achieve better performance by trying to increase the coverage area of the network. A probabilistic detection model is considered to obtain more realistic results while computing the effectively covered area. Performance of the algorithm is compared with that of the particle swarm optimization algorithm, which is also a swarm based optimization technique and formerly used in wireless sensor network deployment. Results show artificial bee colony algorithm can be preferable in the dynamic deployment of wireless sensor networks.
Node Deployment and the Impact of Relay Nodes in Wireless Sensor Network  [PDF]
Rudranath Mitra,Diya Nandy
International Journal of Computer Science and Communication Networks , 2012,
Abstract: Node deployment is a fundamental issue to be solved in wireless sensor network. A proper node deployment can reduce the complexity of problems in WSN as for eg, routing, data fusion, communication etc. Different node deployment models have been proposed to reduce the complexity. In this paper we will discuss about the three models- Tri-hexagon-tiling (THT), Uniform Random and Square Grid. The nature of deployment of sensor nodes depend on the type of sensors, application and the environment where the networks will operate. Deployment of sensor nodes can be random or pre-determined. In random deployment nodes are deployed in a random manner. In pre-determined deployment, location of the nodes are specified. Most commonly used cell structure is Regular Hexagonal Cell Architecture. Here we will discuss the concept of relay nodes and its impact in sensor nodes
Deployment of software components: Application to Wireless System  [PDF]
KOUNINEF Belkacem,BOUZERITA Mohamed
ARPN Journal of Systems and Software , 2011,
Abstract: The wide variety of wireless devices brings to design mobile applications as a collection of interchangeable software components adapted to the deployment environment of the software. To ensure the proper functioning of the software assembly and make a real enforcement in case of failures, the introduction of concepts, models and tools necessary for the administration of these components is crucial. This article proposes a method for deploying components in wireless systems.
Deployment of software components: Application to Wireless System  [PDF]
Kouninef Belkacem,Bouzerita Mohamed
Computer Science , 2012,
Abstract: The wide variety of wireless devices brings to design mobile applications as a collection of interchangeable software components adapted to the deployment environment of the software. To ensure the proper functioning of the software assembly and make a real enforcement in case of failures, the introduction of concepts, models and tools necessary for the administration of these components is crucial. This article proposes a method for deploying components in wireless systems.
Node Deployment Algorithm for Heterogeneous Sensor Networks
异构传感器网络节点部署算法

YUAN Hui-Yong,YANG Si-Qing,
袁辉勇
,羊四清

计算机系统应用 , 2010,
Abstract: The sensor node deployment is either deterministic or self-organizing. This paper studies node deployment of heterogeneous wireless sensor networks, which consists of two types of nodes: one is advanced nodes, the other is normal nodes. It also analyzes the two types of sensor's energy consumption, and a maximizing lifetime model is proposed, which satisfies connectivity and coverage conditions. The proportion between two types nodes is calculated, and a new node deployment algorithm for heterogeneous wireless sensor networks is proposed.
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