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This paper presents considerations of using wireless sensor networks for monitoring conditions within wind farms, taking into considerations the specific of such applications. In these scenarios, which are intended to cover a lot of ground or even operate in difficult radio environments with strong attenuation, the simple and direct communication between source and destination is not always possible,...
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...
We address the optimal sink scheduling problem in wireless sensor networks (WSNs). The problem is inherently difficult since sink scheduling and data routing are tightly coupled. Previous approaches either have questionable performance due to no joint considerations, or are based on relaxed constraints. Our aim is to fill in this blank in the research. First, by discretizing continuous time, we develop...
In this paper, we deal with a scheduling algorithm to fulfil a qualified end-to-end video service in terms of fairness and energy efficiency over multi-hop wireless sensor networks. For this goal, we explore to optimize the routing and power allocation via cross-layer optimization by utilizing a game-theoretic approach. In order to reduce computational complexity, we also propose a distributed optimization...
This paper studies a joint coding/routing optimization between network lifetime and video distortion by applying information theory to wireless visual sensor networks for correlated sources. Arbitrary coding [distributed video coding and network coding (NC)] from both combinatorial optimization and information theory could make significant progress toward the performance limit and tractable. Also,...
The following topics are dealt with: detection and tracking; routing; IP-track; SPOTS track; data communications; localization; programming and optimization.
In this paper, we formulate coverage requirements of the sensor network as a minimum-cost connectivity guaranteed point k-coverage problem. An improved ant colony algorithm (EasiDesign) is proposed to achieve the approximate solution to this optimization problem. We made modifications in the convergence strategy and the ant state transition rule of the general ant colony optimization. Considering...
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...
Energy conservation is a critical problem in wireless sensor networks (WSNs). Cross-layer design can provide energy efficiency through joint energy management and optimization. In this paper, based on two orthogonal modulation schemes- frequency shift keying (FSK) and pulse position modulation (PPM), we put forward a multi-layer energy efficiency optimal joint design approach for WSNs. Considering...
The hole-bypassing problem in WMSNs(wireless multimedia sensor networks) is considered. Based on heuristic thinking, a Heuristic Optimization algorithm for Geographic Greedy Hole-Bypassing routing algorithms (HOGGHB) is proposed. Firstly, the critical nodes are explored in the route provided by an existing greedy routing algorithm. Secondly, the optimization gain ratios of the optimizable subroutes...
Recent developments in the field of transmission line monitoring system have led to a renewed interest in wireless sensor networks, which is characterized by the strong real time, high reliability, adaptability, load balancing and so on. However, the bottleneck problem of network transmission which is likely to occur around the sink node must be taken into account. This paper proposes a new cross-layer...
A recent approach for data fusion in wireless sensor networks involves the use of mobile agents that selectively visit the sensors and incrementally fuse the data, thereby eliminating the unnecessary transmission of irrelevant or non-critical data. The order of sensors visited along the route determines the quality of the fused data and the communication cost. The computation of mobile agent routes...
Recent work shows that sink mobility along a constrained path can improve the energy efficiency in wireless sensor networks. However, due to the path constraint, a mobile sink with constant speed has limited communication time to collect data from the sensor nodes deployed randomly. This poses significant challenges in simultaneously improving the amount of data collected and prolonging network lifetime...
In this paper, we propose an efficient bottleneck throughput maximizing routing framework for correlated data gathering in wireless sensor networks. Our proposed routing metric exploits the the data correlation present in sensor networks. For throughput-maximizing correlation aware routing, a game theoretic framework is developed for a local solution of the NP-complete optimization problem. The proposed...
Due to the limited availability of energy within network nodes, energy-efficient routing mechanism is one of the most critical issues in wireless sensor networks. In this paper, we propose a multi-path routing algorithm with energy-aware based on ant colony system. The algorithm introduces three improved rules: Ant Marginalization Rule, State Transition Rule and Global Pheromone Update Rule to solve...
We consider problems where multiple agents cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchange state information. Since communication costs can be significant, we seek conditions under which communication of state information among nodes can be minimized while still ensuring that the optimization process converges. In prior...
This paper studies a joint coding/routing optimization between network lifetime and rate-distortion, by applying information theory to wireless visual sensor networks for correlated sources. Arbitrary coding (distributed source coding and network coding) from both combinatorial optimization and information theory could make significant progress towards the performance limit of information networks...
Due to long calculation time and slow convergence speed, ant colony system (ACS) cannot be used directly in wireless sensor networks (WSN). In this paper, we present an improved ACS algorithm based on Altitude Information (AI) and Ant Withdrawal (AW), named ACSA (an improved ACS algorithm with AI). The concept of AI is defined, and the design philosophy, algorithm realization and performance simulation...
Data aggregation is an important area of wireless sensor networks. The importance of efficient data aggregation in wireless sensor networks is due to the fact of the networks which are volatile and ad hoc in nature. Problems associated include efficient energy consumption and routing techniques. Zone Efficient Localized Data Aggregation (Zelda) Algorithm has been proposed. This algorithm employs the...
Appropriate node management of networks in the limited resources of the wireless sensor network for effectively control the energy of networks is one of the key points in research on wireless sensor networks. Using of ant colony algorithmpsilas characteristics, self-organized, adaptive and dynamic optimization, this paper proposed a new power management which can reduce the node power and re-establish...
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