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For more efficient use of wireless sensor networks, the article using the Bayesian formula to revise the subjective weights base on the fuzzy multiple attribute decision making (MADMR) of WSN routing algorithm which making the subjective weight more theoretical, at the same time using the entropy coefficient model to avoid too much deviation with the objective weights. The simulation results show...
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:...
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 consider the problem of efficiently “emptying” a wireless sensor network that has accumulated a large amount of data at its nodes and seeks to relay them to designated gateways so as to maximize a concave function of achievable transmission rates. Transmissions are subject to physical communication constraints, interference constraints, and fairness constraints. We adopt a framework where transmissions...
In this paper, wireless sensor network (WSN) topology optimization for dependability is considered, where two metrics “reliability” and “integrity” for WSN are defined. First, static topology optimization problem for reliability, integrity and joint optimization of them are investigated and some trade-off relationships are clarified. Then, dynamic topology optimization problem is proposed, where some...
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...
We study the minimum range assignment problem that consists in finding the range assignment that minimizes energy consumption in the network. We exhibit one bad behavior of classical graph reduction-based approaches: they only consider the sum of edges' weight as an optimization criterion. We then design a new graph reduction algorithm (the minimum power tree protocol) and its associated topology...
Wireless sensor networks (WSNs) is the next generation of sensor network and the research of network topology optimization has the important meaning for present and future. By making full use of the information about the node position and energy, the WSNs topology algorithm based on immune principle is proposed in this paper, and the simulation results show that this algorithm improves the performance...
Immediate notification of urgent but rare events and delivery of time sensitive actuation commands appear in many practical wireless sensor and actuator network applications. Multi-parent wake-up scheduling was presented as a technique which can provide bi-directional end-to-end latency guarantees while optimizing the node battery lifetime. This method takes a cross-layer approach where multiple routes...
In two recent contributions, we have provided a comparative analysis of various optimization algorithms, which can be used for atomic location estimation, and suggested an enhanced version of the Steepest Descent (ESD) algorithm, which we have shown to be competitive with other distributed localization algorithms in terms of estimation accuracy and numerical complexity. Moreover, therein we have conducted...
In recent contributions [Tennina, S., et al., 2008], [Tennina, S., 2008], we have provided a comparative analysis of various optimization algorithms, which can be used for atomic location estimation, and suggested an enhanced version of the steepest descent (ESD) algorithm, which we have shown to be competitive with well-known distributed localization algorithms in terms of estimation accuracy and...
We present the design and implementation of UDAE, a universal data access engine for wireless sensor networks. The UDAE allows developers to access data both locally and over the network from a variety of sources, such as sensors, communications links and platform components in a unified manner. It is also fully extensible, allowing data sources and users to be added flexibly at run-time. This enables...
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