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This paper describes a data analysis technique used to extract threshold values of a Fuzzy Inference System's (FIS) inputs. In this work, the FIS is used to classify malicious agents' behaviour in a Multi-Agent System (MAS) environment. The extraction of suitable FIS inputs threshold values in the MAS environment are based on data analysis derived from several simulation runs. Subsequently, the extracted...
The following topics are dealt with: microwave filters and antennas; fuzzy logic and neural based approaches; mobile ad hoc network; wireless sensor network; data and web mining; security algorithms; signal processing and communication; digital design and embedded implementations.
The following papers are dealt with: software component verification; decision support system; web service; ERP; SQL; semantic data gathering; network security; software development; knowledge-based environmental information system; artificial neural network based radial bending; graph theory model; ontology-based process model; data mining; rough-neuro fuzzy network; feature extraction; query processing;...
Position localization is an important problem in wireless sensor networks. A major challenge in this problem is overcoming errors and imprecision in locating the unknown position of a randomly deployed sensor. Localization is also an initial step to subsequent procedures such as routing and information exchange. Thus, if the result from localization is inaccurate, then future processes would be tainted...
In this paper, the authors propose an energy and mobility aware system for wireless sensor network. The remaining battery capacity, mobility, velocity, and distance to the critical point are taken into consideration for the next moving, and a fuzzy logic system is applied to the decision making for the moving possibility of mobile unit. Simulation results show that this scheme can extend the network...
Adequate coverage is one of the main problems for sensor networks. The effectiveness of distributed wireless sensor networks highly depends on the sensor deployment scheme. Given a finite number of sensors, optimizing the sensor deployment will provide sufficient sensor coverage and save power of sensors for movement to target location to adequate coverage. In many working environments, for getting...
Large range of tiny, embedded sensor devices capable of sensing, communicating and routing data are available now a days. Due to higher failure rate of sensor nodes or their mobility, the sink node might not exist in their transmission range. We proposed an approach which uses fuzzy logic to deal with diverse QoS requirements of sensor applications. In this paper, we have designed, an Intelligent...
We address the maximum lifetime routing problem in wireless sensor networks, and present an online multipath routing algorithm. The proposed algorithm strives to maximize the network lifetime metric by distributing the source-to-sink traffic for a given routing request along a set of paths. Fuzzy membership function is used for designing the edge weight function. Simulation results obtained under...
In sensor networks, a compromised node can generate fabricated reports, which cause severe damage such as false alarms and energy drain. An interleaved hop-by-hop authentication (IHA) scheme addresses the attack by detecting and filtering false reports in a deterministic and hop-by-hop fashion. Unfortunately, in IHA, all en-route nodes must join to verify reports while only a few are actually necessary...
Wireless sensor network (WSN) consist of a large number of sensor nodes which are limited in battery power and communication range and are having multi-modal sensing capability. One of the most significant applications of wireless sensor network is environment monitoring. In this paper, a multi-sensor data fusion algorithm in WSN using fuzzy logic for event detection application is proposed. In the...
In our latest work, we developed a data fusion algorithm which can be applied on fusion centers of a cluster-based wireless sensor network (WSN). The data fusion algorithm is a mathematical model based on fuzzy logic theory. In fuzzy logic, a collection of objects is processed using fuzzy sets to obtain a value, which summarizes the collection. In this paper, we examine the effects of imprecise WSN...
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