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Wireless Sensor Networks (WSNs) are an emerging technology that draws a significant amount of research attention. Localization of the nodes in these networks plays a key enabling role in WSN applications. In this paper, the use of Bees Optimization Algorithm (BOA) for localizing the nodes of the wireless sensor networks is investigated. BOA is population-based search algorithm that performs a neighborhood...
We propose an algorithm for maximizing the lifetime of a wireless sensor network when there is a mobile sink and the underlying application can tolerate some degree of delay in delivering the data to the sink. Our main contribution is that the algorithm is distributed, and in addition, mostly uses local information. Such an algorithm can be implemented by parallel and/or distributed execution and...
Rumor routing is a routing protocol based on query for wireless sensor networks, which selects next hop randomly during establishing path and the path may not be optimal and may be loop. So this paper puts forward a novel rumor routing (NRR), which bases on ant colony optimization and can resolve the loop route that established by rumor routing, and has good convergence, comparing to rumor routing,...
Wireless sensor networks (WSNs) should handle multiple sensing tasks for various applications. How to improve the quality of the data acquired in such resource constrained environment is a challenging issue. In this paper, we propose a sensor-channel co-allocation model for scheduling the sensing tasks. The proposed model considers the capability, coupling and load balancing constraints for sensing...
The anticipated increase in the density of the deployed wireless sensor networks calls for spectrum sharing through unlicensed access to licensed spectrum. The key technology for spectrum sharing in this scenario is cognitive radio networks. Cognitive relaying scenarios, where a cognitive (unlicensed) user provides relaying services to a licensed (primary) user, have been proposed before as a method...
Sensors in wireless sensor network (WSN) usually spatially spread across geographical locations. They may be placed randomly or in an initially organized manner to cooperatively monitor certain physical or environmental phenomena. They have limited transmission powers due to their small sizes and battery constraints. Some sensors may not be able to send data directly to the sink for processing and...
Spectrum sensing is essential for the success of the cognitive radio networks. In traditional spectrum sensing schemes, Secondary Users (SUs) are responsible for the spectrum sensing which could be very time and resource consuming. It leads to a great deal of inefficiency in spectrum usage and introduces many practical challenges. To tackle these challenges and leverage the spectrum opportunity more...
With rapid development of wireless sensor networks, especially WirelssHART networks, channel assignment in physical layer has been becoming an obstacle for data transmission with increasing amount of various field devices. This paper is mainly written to describe, in star-topology WirelessHART networks, the optimization on channel assignment based on stave principle, which is analogous to a mathematical...
The direction of cross-layer wireless research has been prominently bottom-up, i.e., optimizing higher layer protocols based on the characteristics of the underlying wireless communication medium. Though this approach has been essential for efficient use of scarce wireless connectivity and bandwidth, there is a recent trend for massive availability of wireless resources through initiatives such as...
A Wireless Sensor Network (WSN) is typically depicted as a distributed resource constrained platform for supporting novel pervasive applications. A possible approach is to develop applications over WSNs by resorting to mobile agent frameworks that are aimed to minimize resource costs and memory allocation. In this context, network topology is a major issue to be considered for resource optimization:...
The main design challenge in wireless sensor networks is to achieve satisfactory network lifetimes under scarce energy resources available at the nodes. In this paper we present an optimization framework for maximizing lifetime of a network in which opportunistic routing together with random linear network coding is used. We propose a scheme in which each node attempts to receive transmissions from...
Wireless Multimedia Sensor Networks(WMSNs) have the characteristics of limited resources, variable channel capacities and high data redundancy, which pose great challenges to the QoS routing of WMSNs. Addressing these issues, an Ant Colony Optimization-based Load Balancing Routing Algorithm (ACOLBR) is proposed. Firstly, the intra-cluster routing is built by the minimum spanning tree. And then the...
In this paper, we exploit the geographic opportunistic routing (GOR) for QoS provisioning with both end-to-end reliability and delay constraints in wireless sensor networks (WSNs). Recent work exploits multipath routing to guarantee both reliability and delay QoS constraints in WSNs. However, the multipath routing approach suffers from a significant energy cost. We also find that existing GOR protocol...
A deployment strategy of hierarchical structure wireless sensor network. (HSWSN) is studied, HSWSN are composed basic station (BS), relay devices (RNs) and sensors (SNs). In this paper, the mode of system and energy consumption are proposed, the deployment strategy especial relay devices is proposed, and some important such that energy consumption density (ECD), distribution probability of RN consumption...
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techniques that define and optimize the distribution of queries and their operators. We anticipate a high degree of dynamics in the network, which can for example be expected in the case of wildlife monitoring applications. The...
Topology control algorithm for wireless Sensor Networks (WSNs) aims to adjust the network topology to improve network performance, such as throughput, connectivity and power-efficiency. In this paper, a novel adaptive topology control (ATC) method with an adjustable parameter is proposed to maximize the expected throughput and preserve connectivity and power efficiency. By tuning the adjustable parameter,...
We describe a method for accurately estimating the topology of sensor networks from time-series data collected from infrared proximity sensors. Our method is a hybrid combining two different methodologies: ant colony optimization (ACO), which is an evolutionary computation algorithm; and an adjacency score, which is a novel statistical measure based on heuristic knowledge. We show that, using actual...
WirelessHART is an open wireless sensor-actuator network standard for industrial process monitoring and control that requires real-time data communication between sensor and actuator devices. Salient features of a WirelessHART network include a centralized network management architecture, multi-channel TDMA transmission, redundant routes, and avoidance of spatial reuse of channels for enhanced reliability...
Recently, wireless sensor networks are used in an expanded bulk of utilizations. In this research, a lighting control system is proposed on basis of wireless sensor networks named LACS (Lighting Automatic Control System). This system with the ability of explaining the users' activities, in addition to providing the needed lighting which provides the satisfaction of users, will provide energy saving...
The main contribution of this paper is the implementation and experimental evaluation of a signal reconstruction framework for Wireless Sensor Networks (WSNs). We design WSN-Control, an architecture to control a WSN from an external server connected to the Internet. Within such architecture, we implement a compression and recovery technique that combines Principal Component Analysis (PCA) and Compressive...
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