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A new simulation analysis algorithms establishing wireless sensor networks communication path based on ant algorithm was proposed. The local optimization problem Occurred in large-scale sensor nodes is solved. The new algorithm has good scalability and dynamic adaptability and is very effective to determiner multi-node wireless sensor network communication processes. The algorithm is feasible through...
ZACA-EEC (Zigbee Ant Colony Algorithm Energy Efficient Cluster) routing protocol is proposed to replace AODV in Zigbee with the aim of increasing reliability for mine equipment monitoring in this paper, which can prolong the lifetime of network remarkably. Taking hydraulic support as an example, the distribution of monitoring nodes can be simplified as chain hierarchy topology, then Free-space model...
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...
The function and structure and the architecture of sensor network based on ZigBee/802.15.4 standard for forest monitoring are designed in this paper. According to the features of forest monitoring, the sensor nodes based on CC2520 and low power consumption chip MSP430F5437 and the coordinator Combing with ARM are designed which realize the energy control in physical layer. With the wireless sensor...
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...
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...
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...
In this paper, we propose one 3-D Localization Algorithm of Time-Changed Wireless Sensor Networks Based on Initial Topographical Information. The basic idea is first to apply the optimization method, anchors selection strategy and limited region traversal method to locate the unknown sensors by introducing initial topographical information, then relocate the moving sensors based on the communication...
At present most of the WSNs routing protocol only have a single research objective. The overall network performance lacks of multi-objective inspection and evaluation. The basic task of multi-objective routing is to find a route in the network which has sufficient resources to optimize some network parameters and satisfy multiple constrains. A multi-objective model, constrained of bandwidth, is put...
A new mixed location algorithm for WSN is proposed in this paper. The distance is calculated based on DV-Hop algorithm, and the initial position is estimated by Centroid algorithm, then the result is optimized by Mass-spring optimization. MATLAB simulation result shows that, compared with DV-Hop, the error of the mixed algorithm is reduced about 15%. It does not need additional hardware, and the positioning...
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...
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...
Delay-Tolerant/Disruption-Tolerant Networks (DTNs) have been proposed to cope with the challenges of communication in some extreme or special environments. Due to the uncertainty of node mobility, application traffic demand and other factors, it is difficult to provide performance guarantee for a DTN where all nodes may move arbitrarily. With controlled mobility, message ferries can be utilized to...
An optimization model is set up for the area covering and routing problem of Wireless Sensor Network(WSN). Two quasi-physical and quasi-sociological methods are designed for the problem, They are quasi-gravitation model and quasi-coulomb force model. Based on the Area Covering, Round Routing Method is proposed, which transfers into TSP problem. Restriction of window ant colony algorithm carry out...
We analyze several new problems that arise from the use of rotating directional sensors. The coverage region of a rotating directional sensor is restricted to a certain direction, and its orientation varies at constant speed. For already placed rotating directional sensors, we consider three problems for which the goal is to minimize the dark time (i.e. uncovered time) of all point in the area. We...
In some environment, randomly deployed sensor nodes could not satisfy the requirements of wireless sensor network. Therefore, it is necessary to use mobile sensor nodes in some special conditions. And after moving nodes are deployed randomly, they could be relocated according to the real-time situation of network coverage degree. This paper proposes a hexagonal grid-based sensor deployment algorithm,...
Data aggregation is an important issue in wireless sensor networks which gathers and routes information through a multi-hop network and processes data at intermediate nodes. This paper considers how to construct data aggregation tree in wireless sensor network where there are several source nodes and a single sink. Ant Colony Optimization algorithm is an effective distributed approach. It has been...
Limited energy is one of the most special characteristics of WSN, how to use the limited resources available at each sensor node more efficiently is very important. Several researches were done before, aiming to cut down the WSNs' whole energy consumption, but their simulation results showed that the main node nearest to the sink node always have much higher energy consumption than that of any other...
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