A novel mining system for criminal issues from a video file within cloud computing environment

This paper presents a description of a novel mining system which mines the different occurrences (instances) of the same object from a video file. The framework of the system consists of four steps: segmenting the video file into stable tracks, extracting objects and their features from the tracks, grouping these tracks into clusters based on their residing objects, and finally mining the instances of each object in the shared pool of configurable computing resources within cloud environment for more security. The paper also presents a critique and feedback for the system and proposes an idea to improve its performance

An efficient mathematical analysis for saving energy in WSN routing protocol

The issue of energy efficiency in wireless sensor networks (WSNs) is a prime consideration. Therefore, we propose an energy-saving scheme for use in wireless sensor networks and this the goal of this Research. The proposed protocol is a mixture of the low energy adaptive clustering hierarchy (LEACH) and mediation device (MD) protocols. It combines the advantages of both. The suggested protocol includes a mechanism for avoiding the collisions that exist in the MD protocols. Also, it allows the cluster head to be in sleep mode if there is no data to be sent. (In addition, MD Device in the proposed protocol will send ID to the node which will send the data to the cluster head that avoid collision signals that unfortunately happen in MD protocols and know which node sent data). This is in contrast to the LEACH protocol and MD protocol, where the cluster head is always switched on. Placing the cluster head in sleep mode contributes to reducing energy consumption.In the proposed scheme, clustering is used as in LEACH, but the cluster head is asleep by default. However, when a sensor node has data to send, it informs the MD, which then awakens the cluster head, making it ready for receiving sensor data. To evaluate the proposed scheme, we suggest a mathematical model that estimates the energy that the scheme saves as compared with LEACH. The results show that substantial energy saving is possible when the cluster head can be placed in sleep mode for a large percentage of time. Intuitively, this time percentage is higher when sensors have less data to send

A survey of routing MAC techniques for wireless sensor networks routing protocol

A Wireless Sensor Network (WSN) contains a random number of sensors distributed in the environment to monitor physical conditions. In the following, a survey of MAC routing mechanisms in WSN is presented and discussed. One of the most important issues in WSN is the issue of energy efficiency of the routing protocols. The importance of this issue stems from the fact that the nodes have usually a life time and this life time can be extended by saving more energy by using efficient routing techniques. In the following, we present a survey of the MAC routing mechanisms in WSN. Firstly, an outline of the architecture challenges for routing protocols in WSN is given according to the system tradeoffs between the power and communication overhead savings in different routing techniques. Secondly, advantages and disadvantages for each routing protocol are presented and discussed. In this survey, we will concentrate only on some protocols like Data Centric, Hierarchal and other related energy saving protocols. In addition, we will discuss some of the surveyed protocols results, comparisons and conclusions

Fuzzy logic system and mediation device node with grids for energy saving in wireless sensor network

Wireless Sensor Networks (WSN) are widely used in many applications. However, it still suffering from many issues such as packet loss, idle listening, high delay, and distance between nodes which all contribute to increase energy consumption and dissipation in WSN. In order to reduce this energy dissipation, this research concentrates on the Hierarchal routing Medium Access Control (MAC) protocols on how to solve the aforementioned problems. This research proposes the Grid Mediation Device (GMD) Node to minimize the idle listening of the active dura- tion for each node, the nodes are put to sleep mode for a reasonably long period of time and they wake up for a short time only to receive data. This behavior reduces the energy consumption for each sensor while minimizing the delay since the clusterheads will not wait for the sleeping nodes that have no data to send. Thereafter, the active clusterheads will be also put in the sleeping mode once they finish their data transmission. Simulation and mathematical model of the proposed GMD protocol have confirmed that the proposed GMD can improve the lifetime for all sensor nodes in the network, due to minimizing the idle listening time for each node. Moreover, adding Multi-levels of grids and Multi-level of MD node to the GMD protocol that will minimize the distance of sending data from each level cluster grid to another level until reach to the base station instead of sending data directly from any cluster to the base station, because the path between nodes and cluster head is not reliable and the nodes are far from each other in different grid. This research leads to reduce packets lost problem as well makes the network more reliable which is another contribution of this study. Lastly, this research adding Fuzzy logic system to the grids to minimize the problem of the distance between nodes as using three fuzzy logic criteria for each node will lead to choosing the optimal location and energy for each clusterhead and each node. The three pro- posed protocols have been compared to the Two-Dimensional Technique Based on Centre of Gravity and Energy (TDTCGE) protocol which is used two-dimensional technical centers (energy Centres and Gravity Centres) that will help to reduce the energy consumption and distances between nodes. Moreover, some of the proposed protocol derives better system performance such as end-to-end delay, throughput, lifetime, and energy saving. The Grid Mediation Device (GMD) protocol with Mathematical model has improved the lifetime around 88% as compared with the TDTCGE. In addition, The Fuzzy Logic grids (FLG) protocol saves more than 8% energy battery by adding the Fuzzy logic with the three criteria’s (Distance between nodes, distance to the basestation, residual energy) that will minimize the radius competitions between nodes and the clusterhead, and between the nodes and BS by 52% more than TDTCGE protocol. GMD Simulation protocol de- creases the mean of delay by 40% because of the sleeping mode, and which node has data that it has the turn to transmit data only. In addition, Multilevel GMD Proposed protocol reduces the packets lost by 65%. This Research Work improves the lifetime and saving more energy which is also more reliable and efficiency for the wireless sensor network

Replication-Based Dynamic Energy-Aware Resource Provisioning for Scientific Workflows

Distributed computing services in cloud environments are easily accessible to end users. These services are delivered to end users via a subscription-based model. The “infrastructure as a service” (IaaS) cloud model is one of the best cloud environment models for running data- and computing-intensive applications. Real-world scientific applications are the best examples of data and computing intensiveness. For their implementation, scientific workflow applications need high-performance computational resources and a large volume of storage. The workflow tasks are linked based on computational and data interdependence. Considering the high volume and variety of scientific workflows (SWs), the resources of the IaaS cloud model require managing energy efficiently and without failure or loss. Therefore, in order to address the issues of power consumption and task failure for real-world SWs, this research work proposes a replication-based dynamic energy-aware resource provisioning (R-DEAR) strategy for SWs in an IaaS cloud environment. The proposed strategy, R-DEAR, is a resource- and service-provisioning strategy that implements a replication-based fault-tolerant and load-balancing mechanism. The proposed R-DEAR strategy schedules the tasks of a scientific workflow with a replication-based fault-tolerant mechanism. The proposed R-DEAR strategy also manages the power consumption of IaaS cloud resources dynamically through a load-sharing process. Simulation results show that the proposed R-DEAR strategy reduces energy consumption, execution cost, and execution time by 9%, 15%, and 18%, respectively, as compared with the existing state-of-the-art strategy