The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Random deployment of sensor nodes most times generates an initial communication gap in the sensing field even in a highly dense network. These communication gaps still exist even when these sensor nodes are deployed in a structured manner. In either case, the resulting inter-node distances may cause lack of communication and subsequently degrades the network performance. Previous work showed that...
Efficient strategies for energy saving and solutions to increase user awareness on energy resources management are important aspects from both social and economic viewpoints. The traditional power grid needs new monitoring and control tools for the optimal management of producers and consumers through adaptive energy distribution schemes. The problem of energy consumption reduction can be addressed...
Data communication is the most expensive task within the resource restraint wireless sensor networks (WSN), where data aggregation and multi-hop communications are implemented within WSN to reduce energy consumption. Energy reduction is further possible by partitioning WSN into suitable clusters, which select intermediate gateways as data aggregation points. We have proposed an energy optimization...
Wireless sensor networks (WSNs) have been widely studied and usefully employed in many applications such as monitoring environment, embedded system and so on. Coverage preservation, unique ID assignment and extension of network lifetime are important features for wireless sensor networks. Grouping sensor nodes into clusters is an effective way to improve the network performance. The ratio of covered...
This paper presents a healthcare monitoring architecture coupled with a wireless sensor network and wearable sensor systems which monitor chronic patients in nursing house or the elderly in their home. With this architecture, we investigate how sensor nodes are deployed in the three-dimension (3D) monitoring region to achieve uniform distribution, which directly determines the Quality of Service (QoS)...
Cognitive Radio (CR), as a promising technique to improve the utilization of spectrum resource, has been paid much attentions. With cognitive radio technology, Secondary Users (SUs) can opportunistically access idle spectrum resource, while satisfying the Primary Users' (PUs') interference tolerance. Therefore, the integration of spectrum sensing function and dynamic spectrum access scheme is necessary...
Wireless Body Area Networks (WBANs) are made up of tiny physiological sensors implanted in/on the human body which detect the health status of human body and transmit the information collected to the remote server via one or more coordinators. The rapid proliferation of WBANs has stimulated enormous research efforts that aim to maximize the lifetime of battery-powered sensor nodes and extend the overall...
Precision Agriculture (PA) is a challenging application for Wireless Sensor Networks (WSNs). The network has to deal with large deployment areas, multiple surface terrains with diverse requirements on information gathering such as energy consumption, and these operations need to be mostly unattended. Mobile robots (data collectors) when used in WSNs of such demanding applications enable them to handle...
The proposed soft computing tool is developed as a suite of software programs capable of envisaging the evolution within wireless sensor networks (WSN) by accomplishing a series of processes. These processes are: modelling a real problem scenario in computing form, formulating the problem as an optimization problem, evaluating the outcomes and finally, presenting the outcomes in a statistical form...
The wireless sensor network is spatially disseminated independent sensors nodes to monitor wild environment monitoring, fire detection in forest, and militia surveillance. The sensor nodes are deployed to monitor themselves to communicate with each other. The sensor node collects the data from the network is shared between all the sensor nodes. Each sensor nodes of interpretation to be forwarded to...
Cognitive radio network security has become an important issue affecting the development of cognitive radio technology. Primary user emulation attacks(PUEA) is a common attack in the Cognitive radio network. In the scheme, we choose cooperative spectrum sensing system as our model and soft fusion as our Fusion method. We analyze the impact of PUEA on the system performance in the traditional maximal...
Wireless sensor networks (WSN) are widely applied in the supervisory control of the agriculture, biology, transportation, military and many other fields. An excellent node deployment strategy can largely reduce the energy consumption and optimize the lifetime of WSN. In this paper, a new node deployment model based on regular hexagon grids is proposed for a homogeneous flat WSN. Both the data transmission...
In order to achieve an accurate location of unknown nodes in complex three-dimensional wireless sensor networks, in this paper, a new localization algorithm based on anchor optimization is presented. Resorting to virtual force theory, it redeploys the anchor nodes deployed randomly within a certain area to engender a good coverage state, and then uses the DV-Hop algorithm to locate the unknown nodes...
Multi-source energy harvesters are gaining interest as a robust alternative to power wireless sensors, since the sensor node can maintain its operation regardless of the fact that one of its energy sources might be temporarily unavailable. Interestingly, and less explored, when the energy availability of the energy sources present large temporal variations, combining multiple energy sources reduce...
This paper proposes a distributed flow-based routing technique in energy-harvesting wireless sensor networks (EHWSNs) in order to balance the energy consumptions by sending packets assigned to routers that are sent from sensors to base stations. The objective of the flow optimization problem is to minimize the total load factors of all the nodes and wireless links, which leads to sustainable management...
We study a secondary wireless operator's spectrum investment problem under spectrum supply uncertainty using prospect theory. In order to meet the demands of its users, the secondary operator can either sense for the unused spectrum in a licensed band, or lease spectrum from a spectrum owner. Sensing is usually cheaper than leasing, but the amount of spectrum obtained by sensing is uncertain. We formulate...
Taking into account the energy issue, an energy-efficient routing scheme based on redundancy detection is proposed for wireless sensor networks. Our scheme designs the mechanism of nodes' redundancy detection to reduce the unnecessary redundant information during routing and to save the node energy consumption effectively. In addition, it introduces the idea of optimization coverage set of nodes selection...
Due to the characteristics of source limited, multi-to-one paths and burst data flow, congestion inevitable happens in wireless sensor networks (WSNs). The control mechanism of congestion for WSNs is of high significant and plays a key role in achieving high QoS of the network. In this paper, many existing congestion control mechanisms have been summarized and compared, some interesting topics have...
The Sensor Deployment Problem (SDP) is one of the most studied problems in the field of Wireless Sensor Networks (WSNs). It can generally be defined as selecting the sensors locations in a specified Region of Interest (RoI) to achieve one or more design objectives of the WSN. Two of the commonly required design objectives are maximizing coverage and minimizing the deployment cost of the WSN. In this...
Many applications of wireless sensor network (WSN) require the execution of several computationally intense in-network processing tasks. Collaborative in-network processing among multiple nodes is essential when executing such a task due to the strictly constrained energy and resources in single node. Task allocation is essential to allocate the workload of each task to proper nodes in an efficient...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.