Novel Fault Management Framework Using Markov Chain in Wireless Sensor Networks: FMMC

Wireless Personal Communications - Due to using wireless sensor nodes (WSNs) in inaccessible areas and applying limitations in making nodes to reduce costs, these networks are prone to faults. The...     

Fault Tolerance and Energy Efficient Clustering Algorithm in Wireless Sensor Networks: FTEC

Wireless Personal Communications - The beacon order and Superframe order parameter values, as defined by the IEEE 802.15.4 standard specification, constrain the number of data packets that can be...     

Phytotoxic Volatiles in the Roots and Shoots of <Emphasis Type="Italic">Artemisia tridentata</Emphasis> as Detected by Headspace Solid-phase Microextraction and Gas Chromatographic-mass Spectrometry Analysis

In the vicinity of big sagebrush (Artemisia tridentata), the growth of Nicotiana attenuata is negatively affected, in part due to the alleopathic effect of methyl jasmonate (MeJA) which is produced in large quantities by the aerial parts of sagebrush. Preliminary experiments suggested that growth-inhibiting substances were being emitted from the sagebrush roots. To identify the allelochemical secondary metabolites, we tested different root extracts in seedling growth bioassays with the naturally co-occurring native tobacco, Nicotiana attenuata, in a two-chamber Petri dish assay, optimized for tests of volatiles. Fractions rich in volatile compounds were particularly phytotoxic. We analyzed the volatiles emitted from the roots of intact Artemisia tridentata plants grown in soil, sand, and hydroponic cultures by using dynamic headspace extraction, headspace solvent-microextraction (HSME) and headspace solid-phase microextraction (HSPME), and GC-MS. Camphor, 1,8-cineol, nerol, and neryl isovalerate were phytotoxic and released as the major constituents. In addition to the phytotoxic monoterpenes, himachalenes, longifolene, caryophyllene, and acetylenic spiroethers, were found as characteristic components in the root’s volatiles. The allelopathic potential of these root volatiles was compared with that of methyl jasmonate (MeJA), one of the most active compounds emitted from above-ground parts of the plant.     

SEPAR: A New Lightweight Hybrid Encryption Algorithm with a Novel Design Approach for IoT

Wireless Personal Communications - This paper presents a new hybrid encryption algorithm with 16-bit block size and a 128-bit initialization vector, referred to as SEPAR, and it is suitable for IoT...     

Low-cost and compact design method for reversible sequential circuits

The Journal of Supercomputing - Reversible logic plays an important role in nanotechnology-based systems; therefore, it has become an interesting topic for many researchers in this field. Although...     

Novel fault-tolerant clustering-based multipath algorithm (FTCM) for wireless sensor networks

Wireless sensor networks are designed in such a way that transfer sensed data to base station, while a part of network is faulty. This study suggests a fault-tolerant clustering-based multipath algorithm for wireless sensor networks. We have employed a hybrid energy-efficient distributed clustering approach, to cluster nodes. Then a backup node is selected to increase the fault tolerance of cluster head node so that on completing collecting data from sensor nodes, it stores a copy of data. While collecting data in clusters, hypothesis testing and majority voting in cluster head were used to detect the fault of nodes. Finally, three paths were adopted to transfer data from source to base station based on residual energy, number of hops, propagation speed, and reliability parameters. The results of the simulation reveal that our proposed method has improved in terms of energy (6.7%), correct data (53%), data loss (4%), and delay (5.6%) compared with other algorithms.