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In the field of wireless sensor network, it is one of the hottest issues of current research that how to maintain the quality of network coverage and balance nodes' energy consumption to optimize the network lifetime. This paper analyzed LEACH (low energy adaptive clustering hierarchy) and proposed an energy-efficient distributed clustering algorithm on coverage (ECAC). In the algorithm, the redundancy...
For wireless multimedia sensor networks deployed in a field that hard to be accessed, large amount of nodes need to be arrange effectively to monitor different places of the field. Since the nodes are energy-constrained, how to conserve their energy to maximize the network lifetime is our main concern. The problem is proved to be NP-complete. Moreover, nodes may fail if they are broken. Therefore,...
A new simulation analysis algorithms establishing wireless sensor networks communication path based on ant agorithm was proposed. The detailed design of the algorithm and implementation steps and the communication path are designed. The new algorithm is very effective to determiner multi-node wireless sensor network communication processes and has good scalability and dynamic adaptability.The algorithm...
In wireless sensor networks due to its strict resource constraints (with a lower energy, weak processing power), routing protocols should be simple and efficient as the goal, to maximize the extension of the life cycle of the entire wireless network. This paper presents a cross-layer optimization algorithm with the integration of MAC layer and routing layer to meet the requirements of energy-efficiency...
We studied the Minimum Energy Broadcast problem in wireless sensor network that were subjected to hard constraints on available energy and equipped with directional multibeam antennas by formulating and solving the corresponding optimization problem. Multibeam is the combination of two technologies of multi-channel and directional antennas. It was used to save energy further, improve the throughput...
This paper deals with the model of Adaptive multi-hop routing algorithm for Wireless Sensor Network (WSN) and its results are presented. Certain parameters like energy level, delay and velocity are considered. These decisions will come up with the optimal and organized route for WSN. In addition, the stated algorithm is enhanced with the multipath capability to avoid congestion state in WSN. Eventually,...
This paper presents a optimization algorithm to improve the positioning accuracy of the nodes in wireless sensor networks, and introduces RSSI-based (Received Signal Strength Indicator) wireless location technology on formation of multiple mobile robots. First, the RSSI value, which is measured between mobile node and reference node, is optimized by Gaussian model. At the same time, using the classical...
This paper presents the design and implementation of a target tracking test bed based on wireless sensor network (WSN). The test bed is made up of a group of ultrasonic sensor nodes for ranging, a robot as mobile target for tracking and a laptop as base station for visualization. A new incremental optimization algorithm based on trilateration as well as a kind of changeable periodic scheduling scheme...
The paper presents a Predication mode based Routing Algorithm based on ACO (PRACO) to achieve the energy-aware data-gathering routing structure in wireless sensor networks (WSN). We adopt series model ARMA to analyze dynamic tendency in data traffic and deduce the construction of load factor, which can help to reveal the future energy status of sensor in WSN. By checking the load factor in heuristic...
Wireless Sensor Networks (WSN) consist of a collection of wireless nodes that dynamically create a network themselves. However while doing so, not always energy optimization is considered. But energy consumption should be made as much low as possible since power is a constraint for these nodes. This paper proposes a clustering algorithm in Wireless Sensor Network that uses few GPS-enabled nodes or...
Service modeling and composition is a fundamental method for offering advanced functionality by combining a set of primitive services provided by the system. Unlike in the case of web services for which there is an abundance of reliable resources, in sensor networks, the resources are constrained and communication among nodes is error-prone and unreliable. Such a dynamic environment requires a continuous...
Sensor networks have a large diffusion in several areas, using different kind of sensors, different line for data transmission and different ways for their collection and management. In this paper we present a particular typology of sensor network, created for optimally manage the collection of exhausted oil stored in particular bins located in a wide area (about 20.000 km2). A sensor is located on...
Fault diagnosis for wireless sensor is very important to ensure signal acquisition precision. Radial basis function (RBF) neural network has strong classification ability. However, the selection of the connection weights, the hidden centers and the widths has an important influence on the classification performance of the RBF neural network in the learning process of RBF neural network. Thus, ant...
Wireless sensor networks consist of various sensor nodes which operate in a memory, energy and bandwidth constrained environment. Target tracking is an important application in wireless sensor networks and in this paper we propose an energy aware target tracking (EATT) algorithm. Energy efficiency is obtained due to the novel concept of tracking being performed in a collaborative manner by different...
A major concern in wireless sensor networks is to maximize network lifetime while maintaining a high quality of services (QOS) such as target coverage and network connectivity. Communication and sensing consume energy, therefore efficient power management can extend network lifetime. in this paper we consider a large number of static sensor nodes are deployed in order to monitor a number of target...
The article addresses combinatorial evolution of communication protocol for wireless sensor networks. Morphological tree structure (a version of and-or tree) is used as a hierarchical model for protocols. Three generations of protocol (ZigBee) are examined. A set of protocol change operations are generated and described. The change operations are used as items for forecasting based on combinatorial...
Saving energy in Wireless Sensor Networks is essential to extend the lifetime of in-field deployments. Previous research has shown that communication is generally the most energy consuming task and needs to be reduced in order to build resource-efficient long-term applications. The communication demand for retrieving query results from deep within the sensor network is typically high. As a result,...
In this paper, a study of the behavior of wireless mesh networks is proposed, by considering energy consumption and reliability of the network. The real consumption with different network topologies and different data profiles will be analized. The objective of this work is to establish the framework to carry out energy optimizations in order to reduce the energy consumption without losing the reliability...
Efficient data aggregation and compression in sensor networks is becoming fundamental with the increase of the number of nodes in the network. Although several data aggregation and compression techniques have been proposed in the literature only few of them can perform in-network compression and can extend lifetime without prior knowledge of the sensed data or without a central coordination. In this...
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