Tool For Wireless Sensor Networks Research Articles

Sensor Network Simulator Prototype With Real-Time Environmental Data Monitoring to Build Smart Application

This paper states an innovative proposal of a simulation/emulation tool for wireless sensor networks for getting real environmental data. The sensor network’s creation and design use a mathematical model that optimizes the sensor nodes’ location through geographic coordinates (latitude, longitude). The software uses a distributed computational architecture based on containers (Docker), a web application developed in React.js with the ANT Design framework. It is managed through micro-services using the Lagom framework. It also uses the FIWARE-Orion component that controls the flow of sensor data, storing them in the Neo4j database and giving the user the option of using them in any external application. The simulator presents a significant contribution in the WSN field because it allows obtaining data in real-time using a meteorological API. Finally, the application’s proposed architecture allows all the simulation data and the sensor network design to be used by creating any outdoors intelligent application.

Resource management based secure trust model for WSN

Trust evaluation models are vital security enhancement tool for Wireless Sensor Networks (WSNs) to improve dependability (cooperation) among sensor nodes. This paper presents an Accurate and Efficient Distributed Trust Model for WSNs, which focus on fundamental requirements (resource efficiency) and security improvement. The proposed mathematical model (TSTM) computes trustworthiness of communication as well as data (transmitted) more accurately and precisely than other states of the art trust models such as LDTS, ADTC, and LWTM, etc. The proposed scheme consists of unique features like authentication based data trust, scheduler based node trust, and attack resistant by giving the high penalty and minimum reward during node misbehavior. The proposed trust model would be capable of providing security against various internal attacks due to consistency in trust values.

A secure and efficient three-factor multi-gateway authentication protocol for wireless sensor networks

Secure and efficient mutual authentication and key agreement protocol is an important cryptographic tool for wireless sensor networks. Almost all of the known authentication protocols focus on the single gateway node, which is not suitable for the actual situation where the sensor nodes are widely distributed. Recently, Amin and Biswas (2016) [1] firstly proposed a multi-factor authentication and key agreement protocol for the multi-gateway wireless sensor networks in Ad Hoc Networks. Unfortunately, some security vulnerabilities in Amin and Biswas’s scheme were pointed out, and an improved scheme was presented by Wu et al. (2017) [2] very recently. By carefully analyzing, in this paper, we found that there are still some flaws in Wu et al.’s scheme. In addition, the scheme is inefficient in the password verification phase. This paper proposes a new secure and efficient authentication protocol for multi-gateway communication. The protocol introduces biological information and only requires hash and XOR calculations. BAN-logic is used to prove the security of the session key between users, sensors, and gateway nodes, and Real-or-Random model is used to formalize the security proof of the new protocol. Finally, through performance analysis, the new protocol is shown to be more efficient than other multi-factor multi-gateway authentication protocols.

Analysis of Modeling Performance and Simulation Tools for Wireless Sensor Networks

Analysis of Modeling Performance and Simulation Tools for Wireless Sensor Networks

A Graphical-based educational simulation tool for Wireless Sensor Networks

Many routing protocols have been developed to improve the lifetime, bandwidth reusability and scalability of the Wireless Sensor Networks (WSNs). The operation of routing protocols is difficult to understand and some problems may occur while developing these protocols. Simulation is a relatively fast way of estimating these protocols and understating what is happening in the network. Thus, this paper presents an open source Graphical-based educational simulation tool called Gbest-WSN for simulating routing protocols of the static and mobile, homogeneous and heterogeneous WSNs. Gbest-WSN tool has a user-friendly interface that helps the user to select the routing protocol and define the network configuration. It is provided with four routing protocols; namely LEACH, LEACH-Mobile, immune algorithm-based and genetic algorithm-based routing protocols. Also, it allows the user to update the existing routing protocols and add a new routing protocol. Gbest-WSN is provided with radio, coverage and mobility models for modeling the hardware of the sensor node. It shows a detailed 2D and 3D graphical perception for what is happing during the routing process. Also, it has the ability to compare the simulation results of different simulation methods or different network configurations. In addition, it allows the user to save and load simulation scenarios and also exports the graphical results on PDF files and the statistical results on excel or mat files. Moreover, Gbest-WSN is provided with html help documents to help the user how to use it. The illustrative simulation examples clarified that the Gbest-WSN is a helpful tool for the students, teachers and researchers who work in the field of WSNs.

IJARCCE - Computer and Communication Engineering

Research on the mobility models for wireless sensor networks has been an interesting area of networking. As a result, researchers over the past few years have measured the performance of mobility models by applying protocols through various simulation tools for wireless sensor networks. Wireless sensor network is a group of sensing devices which are geographically distributed that monitor the condition around it such as physical or environmental which communicates wirelessly to cooperatively pass data to the main location. The goal of the proposed work is to provide researchers with clear idea about the available mobility models for wireless sensor network performance which can be investigated on various available simulation tools with several metrics of sensor networks. Hence, we attempt to provide an overview of the current research status for wireless sensor network mobility models.

Debugging the Internet of Things: The Case of Wireless Sensor Networks

The Internet of Things (IoT) has the strong potential to support a human society interacting more symbiotically with its physical environment. Indeed, the emergence of tiny devices that sense environmental cues and trigger actuators after consulting logic and human preferences promises a more environmentally aware and less wasteful society. However, the IoT inherently challenges software development processes, particularly techniques for ensuring software reliability. Researchers have developed debugging tools for wireless sensor networks (WSNs), which can be viewed as the enablers of perception in the IoT. These tools gather run-time information on individual sensor node executions and node interactions and then compress that information.

A Survey on Protocols, Platforms and Simulation Tools for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are becoming very common technology which combine sensing, processing, and wireless multi-hop networking. This paper provides a wide review of the present state about WSNs at the time of its writing. Following a top- down approach, WSNs concept, definition and applications is provided. Furthermore, an overview of WSNs constrains and judgment metrics such as lifetime and latency is given. Then, the communication protocol stack for WSNs is described, and protocols developed for each layer are discussed. Finally, this paper provides review and comparisons of current simulation programs All of these features make the paper valuable for an extensive variety of possible readers, researchers in WSNs, students stating research in WSNs, specialists wanting to offer WSN solutions, and WSN application designers.

Integration of security and authentication agent in ns-2 and leach protocol for wireless sensor network

Wireless Sensor Networks (WSN) is an emerging technology for attraction of researchers with its research challenges and various application domains. Today, WSN applications can be used in environmental detection, Monitoring system, medical system, military and industrial monitoring for ability to transform human life in various aspects. Depending on applications used for WSNs, security is the biggest challenges in WSNs and security aspect is essential for WSNs before designing WSNs. The routing protocols for WSNs need security services for transmission exact and secure data to the users through the network. LEACH (Low Energy Adaptive Clustering Hierarchy) is a routing protocol used in WSNs by arranging sensor nodes into clusters. Every sensor cluster is managed by a Cluster Head (CH) during the network operation such as routing and data aggregation from Cluster Member (CM). Therefore, security and authentication is necessary between CH and CM. However, LEACH is lack of security. This paper presents integration of security and authentication between CH and CM on LEACH routing protocol. For the implementation of this integration, NS-2 simulation software is used and it is necessary to combine security agent into NS-2 tool for WSN. But currently, NS-2 does not support these features. Therefore, the main aim of this paper is to develop security and authentication agent into NS-2 and LEACH protocol for WSNs with the simulation results.

Lossy links diagnosis for wireless sensor networks by utilising the existing traffic information

Network diagnosis is very important for wireless sensor networks (WSNs) since many network-related faults, such as node and link failures, often occur in real applications. Diagnosis tools for WSNs usually consist of information collection and root-cause deduction, which deduce whether there are failures and which components are faulty. Compared to wired networks, the links in wireless sensor networks are prone to suffer from high packet loss rates, which cause the incomplete data at sinks. Therefore, to identify the poorly performing (lossy) links, lossy links diagnosis is crucial for WSNs. Existing diagnosis approaches usually need each sensor node to report a large amount of status information to the sink, thus introduce huge traffic overheads which is an enormous burden for a resource constrained and usually traffic sensitive sensor network. In this paper, we introduce a novel lossy link diagnosis approach to infer lossy links using only existing traffic information of sensor nodes. We propose an inference algorithm and a path information preprocessing algorithm in this paper. We evaluate the performance of our approach and the experimental results validate the scalability and effectiveness of our approach.

Design Issues on Software Aspects and Simulation Tools for Wireless Sensor Networks

In this paper, various existing simulation environments for general purpose andspecific purpose WSNs are discussed. The features of number of different sensor network simulators and operating systemsare compared. We have presented an overview of the mostcommonly used operating systems that can be used in different approaches to address the common problems of WSNs . For different simulation environments there are different layer, componentsand protocols implemented so that it is difficult to compare them. When same protocol is simulated usingtwo different simulators still each protocol implementation differs, since their functionality is exactly not the same.Selection of simulator is purely based on the application, since each simulator has a varied range of performance depending on application.

Adequacy of wireless sensor network models in simulation environments

The paper gives the analysis of existing tools for wireless sensor networks (WSN) simulation and verification of the obtained models. The objective of the research is verification of the WSN model obtained in simulation environment OMNET ++. Each of the analyzed simulation systems of wireless sensor networks allows: -increasing the WSN development efficiency; -conducting an experiment without real deployment of sensor network; -carrying out researches of WSN; -significant costs reduction for network development and deployment. The model adequacy depends on the purpose of modeling and accepted criteria. WSN simulation models development based on the simulation system OMNET++ provides adequate models. This is confirmed by the obtained results

An educational tool for wireless sensor networks

AbstractThe present paper introduces a tool, which simplifies the description of Wireless Sensor Networks (WSN) applications by means of a visual language and automatic generation of executable code. The tool has been used to provide non‐experienced students with a practical introduction to WSN concepts in a short period of time. Using the tool allowed students to quickly develop their own applications and test with them, focusing on their functional aspects rather than on programming and platform‐dependent matters. This has yielded good results in the adaptation to the new European Higher Education Area (EHEA) envisaged by the Bologna Process, promoting an increased role of students in education as well as improving their motivation. © 2010 Wiley Periodicals, Inc. Comput Appl Eng Educ 20: 692–701, 2012

Diagnostic Tools for Wireless Sensor Networks: A Comparative Survey

The availability of tools to diagnose Wireless Sensor Network (WSN) failures is a key success factor for this type of networks as already demonstrated by several long-running deployments. By nature, WSNs are resource-constrained, fragile, complex to analyse, and failure-prone. Naturally, with the growing number of installations, it is becoming fundamental to efficiently diagnose failures as soon as possible, in order to deal with the underlying causes. In accordance with this, from 2005 onwards, the offer of diagnostic tools has been increasing, as the other base technologies (e.g. networking, operating system, localisation, synchronisation) become reasonably stable. The purpose of this survey is to provide an overview of existing post-deployment WSN diagnostic tools, by briefly presenting their functionality, architecture and constraints, in order to enable a basic understating of each tool. The survey also includes a multi-dimensional comparative analysis of the various tools, based on a proposed classification scheme and evaluation criteria, as well as an identification of the main open research issues. Although the number of diagnostic tools is high and considerable work has been done in this area, we conclude that there are still several challenges concerning post-deployment WSN diagnostic tools, regarding scope, flexibility, generality, mobility and security. Moreover, there is a need for mature, native diagnostic-oriented functionality in WSN platforms and operating systems.

Coverage Properties of the Target Area in Wireless Sensor Networks

An analytical approximation is developed for the probability of sensing coverage in a wireless sensor network with randomly deployed sensor nodes each having an isotropic sensing area. This approximate probability is obtained by considering the properties of the geometric graph, in which an edge exists between any two vertices representing sensor nodes with overlapping sensing areas. The principal result is an approximation to the proportion of the sensing area that is covered by at least one sensing node, given the expected number of nodes per unit area in a two-dimensional Poisson process. The probability of a specified region being completely covered is also approximated. Simulation results corroborate the probabilistic analysis with low error, for any node density. The relationship between this approximation and noncoverage by the sensors is also examined. These results will have applications in planning and design tools for wireless sensor networks, and studies of coverage employing computational geometry.

An integer linear programming-based tool for wireless sensor networks

Wireless sensor networks will be widely deployed in the future for monitoring important environmental conditions, security, and health care. One of the most important challenges in the implementation of such networks is minimizing energy dissipation. Given that many of the energy optimization problems defined for sensor networks are very hard, heuristics are commonly employed. Evaluating the effectiveness of these heuristics, i.e., how close do they come to the optimal solutions, is a challenge. While algorithms that give optimal solutions cannot be on-line (since they are expensive), if they are used off-line, they can provide invaluable insight to improve existing heuristics and to derive new ones. In this paper, we present an integer linear programming (ILP)-based tool that can be used to evaluate optimal solutions for communication energy optimization in sensor networks under specific constraints. This tool, which is based on the required sensing and communication schedules, determines optimal sensor movement and communication strategies to minimize energy consumption due to inter-sensor communication. The tool can also accommodate several constraints related to movement capabilities of sensor nodes, their battery capacities, and their communication ranges since all these can be expressed in a linear form. In addition, it can also work with objective functions other than minimizing communication energy. Our experience with the tool indicates that it is very useful for studying different scenarios under which an objective function needs to be optimized.