8 research outputs found
PAWN: a payload-based mutual authentication scheme for wireless sensor networks
Copyright Β© 2016 John Wiley & Sons, Ltd. Wireless sensor networks (WSNs) consist of resource-starving miniature sensor nodes deployed in a remote and hostile environment. These networks operate on small batteries for days, months, and even years depending on the requirements of monitored applications. The battery-powered operation and inaccessible human terrains make it practically infeasible to recharge the nodes unless some energy-scavenging techniques are used. These networks experience threats at various layers and, as such, are vulnerable to a wide range of attacks. The resource-constrained nature of sensor nodes, inaccessible human terrains, and error-prone communication links make it obligatory to design lightweight but robust and secured schemes for these networks. In view of these limitations, we aim to design an extremely lightweight payload-based mutual authentication scheme for a cluster-based hierarchical WSN. The proposed scheme, also known as payload-based mutual authentication for WSNs, operates in 2 steps. First, an optimal percentage of cluster heads is elected, authenticated, and allowed to communicate with neighboring nodes. Second, each cluster head, in a role of server, authenticates the nearby nodes for cluster formation. We validate our proposed scheme using various simulation metrics that outperform the existing schemes
Wireless biomedical sensor networks: the technology
The increase in research in the area of wireless sensor networks (WSN) has brought a whole new meaning to medical devices. This is mainly due to advances in microcontroller technologies. The WSN are cited as one of the major technologies of this century and hence it assumes importance in areas such as health, psychology, fire prevention, security and even the military. The great advantage of this technology is the ability to track, monitor, study, understand and act on a particular phenomenon or event. The primary purpose of a wireless health system is reliable data transfer with minimum delay. This work is a synthesis of vast research done as Wireless Biomedical Sensor Networks (WBSN), including experimental and non-experimental investigations as well as data from the theoretical and empirical literature which incorporates a wide range of purposes: definition of concepts, review theories and evidence analysis of methodological problems, seeking to generate a consistent and understandable overview of WBSN. Such systems are already being marketed, some are still under investigation. It is also the aim of this study to identify the characteristics of a WSN applied to health.info:eu-repo/semantics/publishedVersio
Development of a microelectromechanical system (MEMS)-based multisensor platform for environmental monitoring
Recent progress in data processing, communications and electronics miniaturization is now enabling the development of low-cost wireless sensor networks (WSN), which consist of spatially distributed autonomous sensor modules that collaborate to monitor real-time environmental conditions unobtrusively and with appropriate levels of spatial and temporal granularity. Recent and future applications of this technology range from preventative maintenance and quality control to environmental modelling and failure analysis. In order to fabricate these low-cost, low-power reliable monitoring platforms, it is necessary to improve the level of sensor integration available today. This paper outlines the microfabrication and characterization results of a multifunctional multisensor unit. An existing fabrication process for Complementary Metal Oxide Semiconductor CMOS-compatible microelectromechanical systems (MEMS) structures has been modified and extended to manufacture temperature, relative humidity, corrosion, gas thermal conductivity, and gas flow velocity sensors on a single silicon substrate. A dedicated signal conditioning circuit layer has been built around this MEMS multisensor die for integration on an existing low-power WSN module. The final unit enables accurate readings and cross-sensitivity compensation thanks to a combination of simultaneous readings from multiple sensors. Real-time communication to the outside world is ensured via radio-frequency protocols, and data collection in a serial memory is also made possible for diagnostics applications
IMPLEMENTATION AND OPTIMIZATION OF RWP MOBILITY MODEL IN WSNS UNDER TOSSIM SIMULATOR
Mobility has always represented a complicated phenomenon in the network routing process. This complexity is mainly facilitated in the way that ensures reliable connections for efficient orientation of data. Many years ago, different studies were initiated basing on routing protocols dedicated to static environments in order to adapt them to the mobile environment. In the present work, we have a different vision of mobility that has many advantages due to its 'mobile' principle. Indeed, instead of searching to prevent mobility and testing for example to immobilize momentarily a mobile environment to provide routing task, we will exploit this mobility to improve routing. Based on that, we carried out a set of works to achieve this objective. For our first contribution, we found that the best way to make use of this mobility is to follow a mobility model. Many models have been proposed in the literature and employed as a data source in most studies. After a careful study, we focused on the Random Waypoint mobility model (RWP) in order to ensure routing in wireless networks. Our contribution involves a Random Waypoint model (in its basic version) that was achieved on the TOSSIM simulator, and it was considered as a platform for our second (and main) contribution, in which we suggested an approach based RWP where network nodes can collaborate and work together basing on our recommended algorithm. Such an approach offers many advantages to ensure routing in a dynamic environment. Finally, our contributions comprise innovative ideas for suggesting other solutions that will improve them
ENSURE: A Time Sensitive Transport Protocol to Achieve Reliability Over Wireless in Petrochemical Plants
As society becomes more reliant on the resources extracted in petroleum refinement the production demand for petrochemical plants increases. A key element is producing efficiently while maintaining safety through constant monitoring of equipment feedback. Currently, temperature and flow sensors are deployed at various points of production and 10/100 Ethernet cable is installed to connect them to a master control unit. This comes at a great monetary cost, not only at the time of implementation but also when repairs are required. The capability to provide plant wide wireless networks would both decrease investment cost and downtime needed for repairs. However, the current state of wireless networks does not provide any guarantee of reliability, which is critical to the industry. When factoring in the need for real-time information, network reliability further decreases. This work presents the design and development of a series of transport layer protocols (coined ENSURE) to provide time-sensitive reliability. More specifically three versions were developed to meet specific needs of the data being sent. ENSURE 1.0 addresses reliability, 2.0 enforces a time limit and the final version, 3.0, provides a balance of the two. A network engineer can set each specific area of the plant to use a different version of ENSURE based network performance needs for the data it produces. The end result being a plant wide wireless network that performs in a timely and reliable fashion
Π ΠΎΠ·Π²ΠΈΡΠΎΠΊ ΠΌΠ΅ΡΠΎΠ΄ΡΠ² ΠΌΠ°ΡΡΡΡΡΠΈΠ·Π°ΡΡΡ Π² ΠΌΠΎΠ±ΡΠ»ΡΠ½ΠΈΡ ΡΠ΅Π½ΡΠΎΡΠ½ΠΈΡ ΠΌΠ΅ΡΠ΅ΠΆΠ°Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ ΠΊΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΡΡ
ΠΠ΅ΡΠ° ΡΠΎΠ±ΠΎΡΠΈ β ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΠΌΠ΅ΡΠΎΠ΄ΡΠ² ΠΌΠ°ΡΡΡΡΡΠΈΠ·Π°ΡΡΡ Π² ΠΌΠΎΠ±ΡΠ»ΡΠ½ΠΈΡ
ΡΠ΅Π½ΡΠΎΡΠ½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆΠ°Ρ
Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ ΠΊΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΡΡ.
Π Π΄Π°Π½ΡΠΉ ΡΠΎΠ±ΠΎΡΡ ΡΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΎΡΠ½ΠΎΠ²Π½Ρ ΠΎΡΠΎΠ±Π»ΠΈΠ²ΠΎΡΡΡ ΡΠ° Π²ΠΈΠΌΠΎΠ³ΠΈ Π΄ΠΎ ΠΏΡΠΎΡΠ΅ΡΡ ΠΌΠ°ΡΡΡΡΡΠΈΠ·Π°ΡΡΡ Π² Π±Π΅Π·ΠΏΡΠΎΠ²ΠΎΠ΄ΠΎΠ²ΠΈΡ
ΡΠ΅Π½ΡΠΎΡΠ½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆΠ°Ρ
. ΠΡΠΎΠ°Π½Π°Π»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ ΠΌΠ°ΡΡΡΡΡΠΈΠ·Π°ΡΡΡ Π² Π·Π°Π»Π΅ΠΆΠ½ΠΎΡΡΡ Π²ΡΠ΄ ΠΏΡΠΈΠ·Π½Π°ΡΠ΅Π½Π½Ρ ΠΌΠ΅ΡΠ΅ΠΆΡ. ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΡΠΏΠΎΡΠΎΠ±ΠΈ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΡ ΠΌΠ°ΡΡΡΡΡΠΈΠ·Π°ΡΡΡ ΠΌΠ΅ΡΠ΅ΠΆΡ.The purpose of the work is the development of routing methods in mobile sensor networks based on the use of the clustering algorithm.
This paper considers the main features and requirements for the routing process in wireless sensor networks. The routing parameters depending on the network destination are analyzed. Ways to develop a specific network routing are proposed