Performance Evaluation of Gradient Routing Strategies for Wireless Sensor Networks

International audienceWe consider Wireless Sensor Networks (WSN) applications in which sensors have to send data to a unique sink in a multi-hop fashion. Gradient routing protocol is a scalable way to route data in these applications. Many gradient routing protocols exist, they mainly differ in their performances (delay, delivery ratio, etc.). In this paper, we propose an extensive performance evaluation study of some gradient routing protocols in order to give guidelines for WSN developers

Applications and Routing Management of Wireless Sensor Networks

In this paper, we first describe some current and future applications of sensor networks. We present the conceptual framework of distributed routing strategies for wireless sensor networks. We show that under reasonable assumptions, this routing scheme guarantees ‘shortest path property’ which is quite desirable for sensor networks. We then discuss how this framework can be used to support distributed applications for sensor nodes acting as mobile devices. These schemes work well in low mobility conditions. We also discuss the performance of these heuristics

Comparison between Routing Technologies of Wireless Sensor Networks

WSNs have crafted new prospects across the field of human activities, embracing monitoring and control of environmental systems, animal tracking, forest fire tracking, medical care, battlefield surveillance, calamity management. These different applications involves data collection from different millions of sensors and propagating to base stations via sink nodes. WSN makes this communication possible by forwarding data directly to base station that exhaust energy reserves. Use of multi-hop data transmission reduces loss of energy and increase lifetime of network. This paper discusses various routing techniques used in multi-hop WSN to select best path

JPEG steganography with particle swarm optimization accelerated by AVX

Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography. Optimization methods can improve the properties of images with embedded secret but introduce additional computational complexity to their processing. AVX instructions available in modern CPUs are, in this work, used to accelerate data parallel operations that are part of image steganography with advanced optimizations.Web of Science328art. no. e544

A Novel Communication Pathway Metric Evaluation using Throughput and Energy Improvements over Wireless Sensor Networks

Lifetime connectivity and low power consumption are two requirements for WSNs. Additionally, increasing WSN commercialization, application monitoring for higher QoS. Maintaining the improvement of the wireless sensor networks effectiveness requires the establishment of the energy-efficient and consistent connection. In order to increase the efficiency of routing algorithms in latest technology assisted WSNs, a novel method is developed. The gadgets with the lowest power consumption are carefully selected for the appropriate use and carefully managed. The goal of this research is to develop low-power routing algorithms for use in WSNs. Numerous sectors, including the military, the medical profession, surveillance of observing, public transportation sectors etc., can benefit from wireless sensor networks deployed with a large number of mobile nodes in a communications system. To examine data from nodes that are freely moving about the zone, we developed and simulated a wireless network system based on the Distributed Internet of Things. The proposed method of Intelligent Route Metric Analyzer (IRMA) improves upon the efficiency of the standard algorithm with regards to energy consumption. In addition, the ground wireless sensing design's ideal trajectory is identified using a realistic tempering approach. In the end, this concept is compared to similar ones like AODV and the findings reveal that it performs better with regard to of energy consumption, delay and other important metrics. According to the paper we analyzed, the primary objective was to devise a routing method that would sustain network operation for as long as feasible by decreasing the energy needed for different operations at each individual sensor node while keeping the total energy consumption of the nodes constant over their lifetimes. Finally, the study makes a contribution to the ongoing discussion of the difficulties in developing a routing protocol for WSN, taking into account the interdependency of different network factors. Median throughput, median network latency, and standardized route load are only few of the efficiency metrics addressed in this article

Teaching multidisciplinary engineering using concepts and technology of WSN

This paper discusses teaching and learning strategies of Wireless Sensor Networks technology in a new postgraduate subject run at the Faculty of Engineering and IT, University of Technology, Sydney. The aim is to present the role of using practice based and multidisciplinary methodologies in the context of new ICT technologies. This includes shared experiences, observations and common problems experienced in teaching new concepts and paradigms, standards, protocols and algorithms, embedded systems and sensor technologies. The theory of WSN is applied as a driver of system development for the group projects that students undertake in the subject. © 2012 IEEE

Using Knowledge-based Information Systems to Support Management of Wireless Sensor Networking Systems

Currently, researches on Wireless Sensor Networks (WSN) mainly focus on how to efficiently gather sensing data from WSN, but little attention has been paid to how to effectively manage the large amount of collected sensing data. Information Systems (IS) are appropriatetools for data input, storage, processing, and output. Knowledge Management (KM) further transforms useful information into domain knowledge for decision making by domain experts. In this paper, we propose an approach to management of sensing data and transformation of sensing data into valuable knowledge using knowledge-based information systems. Firstly we propose a frameworkfor knowledge-based information systems which deals with internal and external information using intelligent agents to generate domain knowledge with KM methods. Then we definite a model of knowledge-based information system for WSN to implement intensive sensing data storage, knowledge discovery, statistical analysis, sharing, inquiry, decision support. Finally, a prototype system is developed and tested for the aforementioned ideas

Energy Efficient Cluster based Multipath Routing in Wireless Sensor Networks

Wireless sensor network can be defined as a network of densely deployed sensor nodes. These sensor nodes have limited energy and have low processing and storage capabilities. Due to this, we require energy efficient routing protocols so that much of the energy of the nodes is not wasted in routing of data packets. In this paper, we present and energy efficient routing scheme. This routing protocol is a combination of cluster-based routing and multipath routing. We arrange all the sensor nodes in the network in the form of small clusters. Each of these clusters has a cluster head. Nodes which lie within a cluster send its data to its respective cluster head. The transfer of data from nodes to cluster head is through direct communication. All the cluster heads transfer their data to the sink or base station. This transfer of data is through multipath routing