I. Windyga

Bio: I. Windyga is an academic researcher. The author has contributed to research in topics: Wireless network & Ad hoc wireless distribution service. The author has an hindex of 1, co-authored 1 publications receiving 40 citations.

Comparative Study of Wireless Sensor Networks Energy-Efficient Topologies and Power Save Protocols

Abstract: Ad hoc networks are the ultimate technology in wireless communication that allow network nodes to communicate without the need for a fixed infrastructure. The paper addresses issues associated with control of data transmission in wireless sensor networks (WSN) – a popular type of ad hoc networks with stationary nodes. Since the WSN nodes are typically battery equipped, the primary design goal is to optimize the amount of energy used for transmission. The energy conservation techniques and algorithms for computing the optimal transmitting ranges in order to generate a network with desired properties while reducing sensors energy consumption are discussed and compared through simulations. We describe a new clustering based approach that utilizes the periodical coordination to reduce the overall energy usage by

Cuckoo Search for data gathering in Wireless Sensor Networks

Abstract: In this paper a meta-heuristic optimisation technique, Cuckoo Search (CS) is used to aggregate data in the Sensor Network. In the proposed technique, the least energy nodes are formed as subordinate chains (or) clusters for sensing the data and high energy nodes as Cluster Head for communicating to the Base Station (BS). The modified CS is proposed to get enhanced network performance incorporating balanced energy dissipation and results in the formation of optimum number of clusters and minimal energy consumption. The feasibility of the scheme is manifested by the simulation results on comparison with the traditional cluster based routing methods.

Energy aware classification for wireless sensor networks routing

Abstract: Wireless sensor network (WSN) is an application of wireless ad-hoc networks that is taking an increasing role in everyday lives. Because the energy efficiency of routing protocols is one of the major challenges facing WSN this paper aims to provide a survey on WSN that focuses on their ability to save power and contributes to prolonging the lifetime of WSN. The survey displays the traditional classification of WSN routing techniques running in the network layer, which classifies it into 3 categories: flat, hierarchal and location based. It is then further classified according to the protocol operation. This paper adds a new branch to the traditional classification that includes the Data reporting method, which was previously just a constraint for WSN routing, but now shall be considered a category since if highly influences the routing protocol in term of energy consumption. As the more frequent the data reporting occur the more transmissions take place consuming more of the battery capacity. To better categorize WSN routing protocols with respect to energy saving this paper introduces a new classification that is primarily focused on the energy awareness of different protocols. The paper shows that WSN save power by using traffic engineering based approaches, topology control based approaches or reserved based approaches and that all energy saving approaches can be classified under these three main categories. Using these three categories or combinations of them is a key to investigating routing design issue that needs to be enhanced in order to improve the life span of a wireless network. The paper applies the new introduced classification to a number of key routing protocols to show that it provides a distinction in their approaches towards saving power and that it is capable of highlighting the key features related to energy saving in each of these routing.

Host-based Web Anomaly Intrusion Detection System, an Artificial Immune System Approach

Abstract: Recently, the shortcomings of current security solutions in protecting web servers and web applications against web-based attacks have encouraged many researchers to work on web intrusion detection systems (WIDSs). In this paper, a host-based web anomaly detection system is presented which analyzes the POST and GET requests processed and logged in web servers’ access log files. A special kind of web access log file is introduced which eliminates the shortcomings of common log files for defining legitimate users’ sessions boundaries. Different features are extracted from this access log file in order to model the operations of the system. For the detection task, we propose the use of a novel approach inspired by the natural immune system. The capability of the proposed mechanism is evaluated by comparing the results to some well-known neural networks. The results indicate high ability of the immune inspired system in

Designing a dynamic protocol for real-time Industrial Internet of Things-based applications by efficient management of system resources:

Abstract: Wireless sensor networks have gained the attention of researchers from various fields due to increased applicability. This has thus led to rapid development in the field. However, these networks st...

Multiparametric Monitoring in Equatorian Tomato Greenhouses (II): Energy Consumption Dynamics.

Abstract: Tomato greenhouses are a crucial element in the Equadorian economy. Wireless sensor networks (WSNs) have received much attention in recent years in specialized applications such as precision farming. The energy consumption in WSNs is relevant nowadays for their adequate operation, and attention is being paid to analyzing the affecting factors, energy optimization techniques working on the network hardware or software, and characterizing the consumption in the nodes (especially in the ZigBee standard). However, limited information exists on the analysis of the consumption dynamics in each node, across different network technologies and communication topologies, or on the incidence of data transmission speed. The present study aims to provide a detailed analysis of the dynamics of the energy consumption for tomato greenhouse monitoring in Ecuador, in three types of WSNs, namely, ZigBee with star topology, ZigBee with mesh topology (referred to here as DigiMesh), and WiFi with access point topology. The networks were installed and maintained in operation with a line of sight between nodes and a 2-m length, whereas the energy consumption measurements of each node were acquired and stored in the laboratory. Each experiment was repeated ten times, and consumption measurements were taken every ten milliseconds at a rate of fifty thousand samples for each realization. The dynamics were scrutinized by analyzing the recorded time series using stochastic-process analysis methods, including amplitude probability functions and temporal autocorrelation, as well as bootstrap resampling techniques and representations of various embodiments with the so-called M-mode plots. Our results show that the energy consumption of each network strongly depends on the type of sensors installed in the nodes and on the network topology. Specifically, the CO2 sensor has the highest power consumption because its chemical composition requires preheating to start logging measurements. The ZigBee network is more efficient in energy saving independently of the transmission rate, since the communication modules have lower average consumption in data transmission, in contrast to the DigiMesh network, whose consumption is high due to its topology. Results also show that the average energy consumption in WiFi networks is the highest, given that the coordinator node is a Meshlium™ router with larger energy demand. The transmission duration in the ZigBee network is lower than in the other two networks. In conclusion, the ZigBee network with star topology is the most energy-suitable one when designing wireless monitoring systems in greenhouses. The proposed methodology for consumption dynamics analysis in tomato greenhouse WSNs can be applied to other scenarios where the practical choice of an energy-efficient network is necessary due to energy constrains in the sensor and coordinator nodes.