Mamta Rani

Energy Efficient Data Dissemination with ATIM Window and Dynamic Sink in Wireless Sensor Networks

We illustrate the effective use of ATIM (Ad hoc traffic Indication Message) window in static sensors to obtain potential energy savings for sensors during data dissemination in wireless sensor networks. The network consists of resource-rich mobile sink node and resource-constrained sensor nodes forming a square grid. Sink may be multi-hop away from the sensor nodes and in order to collect the data, it moves to the vicinity of the sensor nodes in the grid. Each sensor node in the grid uses an ATIM window and sleeps during that time to conserve energy. The sleeping sensor node wakes up at regular interval of time to read the beacon messages. If the message comes from sink, sensor node immediately reads the header part of query packet to check whether it is the targeted sensor. The targeted sensor further reads the remaining part of query packet and responds back to the sink with requested data. The rest of the sensor nodes just ignore the remaining part of the query packet and go to sleep mode. If the message comes from the peer sensor node, the neighbor nodes just ignore it. We consider an affordable wireless network system with four sensor nodes and one mobile sink. Mobile sink transfers the collected data directly to the control station.

QoS-Aware Web Services Selection with Interval-Valued Intuitionistic Fuzzy Soft Sets

With the increasing popularity of the development of service-oriented applications, it is imperative to measure the quality of services (QoS) for service consumers and providers. To find the most suitable service for different consumers, the QoS nonfunctional attribute will become an important factor in web service selection. However, non-functional QoS properties rely heavily on the subjective perceptions of service consumers that are not easy to assess due to their complexity and involvement of ill-structured information. The purpose of this paper is to introduce interval-valued intuitionistic fuzzy soft set theory for solving web service selection problems that take into account QoS requirement of consumers. Interval-valued intuitionistic fuzzy soft set theory, which is a new useful mathematical tool for dealing with uncertainties, is more effective to deal with uncertainties on non-functional QoS properties in web service selection. We present basic system architecture and the algorithm to solve fuzzy decision making problems for selecting web service based on interval-valued intuitionistic fuzzy soft sets. Finally, an illustrative example is employed to show our contribution.

Three-layer architecture model (TLAM) for energy conservation in wireless sensor networks

We propose a Three-layer architecture model (TLAM) for wireless sensor networks. The first layer (bottom layer) consists of a network of resource-constrained sensor nodes deployed in the field. The second layer contains a set of resource-rich dynamic sink nodes forming an ad hoc network. The sinks at layer second are responsible to monitor and collect data from a region, called cluster. So the sinks at second layer are also knows as cluster sinks. At the third layer, there is a resource-rich static sink, known as zonal sink also, responsible for data collection from cluster sinks. A cluster sink may be few hops away from a static sensor node and moves to the vicinity of sensor nodes to collect the data. Each cluster sink continuously updates the zonal sink by propagating the collected data from the respective cluster. The zonal sink buffers the collected data and propagates to base station. Zonal sink is the one, responsible for data transmission from network environment to the base station, where the data is processed for further use. TLAM approach is robust, increases sensor life by allowing them to operate with a limited transmission range only and provides reduced delay as cluster sink continuously updates to zonal sink without query.

Superior Cantor Sets and Superior Devil Staircases

Mandelbrot, in 1975, coined the term fractal and included Cantor set as a classical example of fractals. The Cantor set has wide applications in real world problems from strange attractors of nonlinear dynamical systems to the distribution of galaxies in the universe (Schroder, 1990). In this article, we obtain superior Cantor sets and present them graphically by superior devils staircases. Further, based on their method of generation, we put them into two categories.

General Noise-Perturbed Superior Julia Sets

The aim of this paper is to offer an integrated approach to study the additive and multiplicative noises with respect to perturbations in superior Julia sets. External and internal perturbations in superior Julia sets are analyzed under the mixed effect of additive and multiplicative noises.

A New Approach to Pattern Recognition in Fractal Ferns

In chaos game, one is randomly chosen and applied to create a new point. Repeatedly, a random rule is selected repeatedly to produce an attractor. Barnsley (2006) used chaos game in function systems, giving rise to interesting fractals by combining it with function iterations. A fractal fern is generated by taking different probabilities in the chaos game. In this paper, the authors introduce two advanced iterations from nonlinear analysis into the study of IFS for generation and pattern recognition of new fractal ferns.

Applications of Interval-Valued Intuitionistic Fuzzy Soft Sets in a Decision Making Problem

Soft set theory in combination with the interval-valued intuitionistic fuzzy set has been proposed as the concept of the interval-valued intuitionistic fuzzy soft set. However, up to the present, few documents have focused on practical applications of the interval-valued fuzzy intuitionistic soft sets. In this paper, Firstly, we present the algorithm to solve decision making problems based on interval-valued intuitionistic fuzzy soft sets, which can help decision maker obtain the optical choice. And then we propose a definition of normal parameter reduction of interval-valued intuitionistic fuzzy soft sets, which considers the problems of suboptimal choice and added parameter set, and give a heuristic algorithm to achieve the normal parameter reduction of interval-valued intuitionistic fuzzy soft sets. Finally, an illustrative example is employed to show our contribution.

I-superior approach to study the stability of logistic map

Verlhust logistic map f(x) = r x (1 − x) is a widely studied and applicable model in discrete dynamical system. Its behavior has been, extensively, studied in Picard orbit and recently studied in superior orbit. Rani et. al. [22] and [25] has shown that in superior orbit, logistic map is stable for larger values of r than that of Picard orbit. In this paper, we have attempted to make the map stable for further larger values of r via I-superior iterates.

Effect of noise on julij sets generjted by logistic MJP

Julia sets are considered one of the most attractive fractals and have wide range of applications in science and engineering. Jrgyris et al. [4] have studied the ef fect of dynamic noise on Julia sets and concluded that Julia sets are stable for noises of low strength, and a small increment in the strength of noise may cause deterioration in configuration of the Julia sets. Rani and Jgarwal [16] have generate d Julia sets from complex logistic map. We study the effect of dynamic noise on the Julia sets generated by complex logistic map.