In a wireless sensor network, the regions in which a large percentage of sensor nodes are not available may form holes in the network. In holes, sensor nodes may be depleted or not dense enough to communicate with oth...
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Multi-hop infrastructure wireless mesh networks offer increased reliability, coverage and reduced equipment costs over their single-hop counterpart, wireless LANs. Equipping wireless routers with multiple radios furth...
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ISBN:
(纸本)0863416446
Multi-hop infrastructure wireless mesh networks offer increased reliability, coverage and reduced equipment costs over their single-hop counterpart, wireless LANs. Equipping wireless routers with multiple radios further improves the capacity by transmitting over multiple radios simultaneously using orthogonal channels. However, due to the limited number of available orthogonal channels, interference is still a factor in such networks. In this paper, we propose a network model that captures the key practical aspects of such systems and characterize the constraints binding their behavior. We mathematically formulate the optimization framework, taking into account the interference constraints, the number of channels in the network and the number of radios available at each mesh router etc. We then use this framework to develop solutions for multiple objectives subject to different kind of fairness constraints on allocation of scarce wireless capacity among mobile clients. The methods proposed in this paper can be a valuable tool for network designers in planning network deployment and for optimizing different performance objectives.
In this paper, we propose a game model to solve the MAC address assignment in sensor networks. Insufficiency of battery power of sensors makes the conservation of the energy be the main design issues for the sensor ne...
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ISBN:
(纸本)0863416446
In this paper, we propose a game model to solve the MAC address assignment in sensor networks. Insufficiency of battery power of sensors makes the conservation of the energy be the main design issues for the sensor networks. Due to the small packet payload, the MAC header is a significant and energy-costly overhead. To remedy this, we propose a novel scheme for a MAC address assignment. The key feature which makes our approach unique is that we propose a mixed strategy game model to solve the address assignment problem. We prove that there is a mixed strategy Nash equilibrium in our game model. The model takes advantage of the exploitation of spatial address ruse to save energy. Our model is easy to implement, which makes it a potential candidate for practical implementations, even for very large networks.
Topological holes in sensor networks usually indicate the region where nodes are depleted or not dense enough due to kinds of reasons. In this paper, we study the problem of detecting topological holes in wireless sen...
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ISBN:
(纸本)0863416446
Topological holes in sensor networks usually indicate the region where nodes are depleted or not dense enough due to kinds of reasons. In this paper, we study the problem of detecting topological holes in wireless sensor networks. Those sensor nodes have no geographic location information and have a limited communication range. We present a novel distributed topological holes detection algorithm which is based purely on the logical communication topology graph. By exchanging information with its 1-hop and 2-hop neighbors, each node can independently decide whether it is on the boundary of a hole. Those boundary sensor nodes together could describe the region of the topological hole. Experimental results show that our distributed algorithm is effective in exploiting those characteristics of those nodes on the boundaries of holes. And thus it could identify those holes in sensor networks of moderate node densities.
A zone routing protocol based on the energy consumption speed of nodes in mobile Adhoc networks is presented. A route select parameter computed by residual lifetime of nodes and hop count of route is used to be select...
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A zone routing protocol based on the energy consumption speed of nodes in mobile Adhoc networks is presented. A route select parameter computed by residual lifetime of nodes and hop count of route is used to be selected the best route, the nodes that have more energy have more probability of chosen. The mechanism can balance the energy consumption of node and prolong network's life. Simulation result comparing with zone routing protocol in NS-2 shows EZRP has less number of death nodes, lower routing overhead, and longer lifetime of network.
In a pedestrian detection system, a classifier is usually designed to recognize whether a candidate is a pedestrian. Support vector machines (SVM) has become a primary technique to train a classifier for pedestrian de...
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In a pedestrian detection system, a classifier is usually designed to recognize whether a candidate is a pedestrian. Support vector machines (SVM) has become a primary technique to train a classifier for pedestrian detection. However, it is hard to give the best training model which has a tremendous effect to the performance of a SVM classifier. In this paper, we design special code/decode scheme and evaluation function for a training model firstly; and then use genetic algorithm to optimize key parameters which represent the SVM training model. Therefore a most suitable SVM classifier can be obtained for pedestrian detection. Experiments have been carried out in a single camera based pedestrian detection system. The results show that the evolutionary SVM classifier has a better detection rate; moreover, RBF kernel is more suitable than polynomial kernel when chosen in an evolutionary SVM classifier for pedestrian detection
Neural networks, combined with implicit polynomials, can be employed to represent 2D curves as well as 3D surfaces. The zero-set of a neural network can be used to describe data points constituting a 2D curve or 3D su...
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Neural networks, combined with implicit polynomials, can be employed to represent 2D curves as well as 3D surfaces. The zero-set of a neural network can be used to describe data points constituting a 2D curve or 3D surface. The neural network fitting algorithms developed in this paper aim to reduce the learning time of neural network by selecting the exterior and interior constraint points simultaneously and improve the fitting performance by using the linear transfer function at the output layers. The neural network adopted so far is a multilayer feed-forward type. Simulation results show that the proposed algorithms provide a significant reduction in learning time, and good fitting results. This paper lays the bases of the neural network modeling approach.
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