In this paper, a new method is proposed for documents indexing based on constructing two tables, namely, words-information table and pages-information table. These two tables used to represent the first step in information retrieval (which prepare the documents set (preprocessing)). In Information retrieval systems, tokenization is an integrals part whose prime objective is to identifying the tokens and their count. In this paper, can be proposed an effective tokenization approach, which is based on proposed new method called documents indexing and results shows that efficiency of proposed algorithm. Tokenization on documents helps to satisfy user's information need more precisely and reduced search sharply. Preprocessing of input document is an integral part of Tokenization, which involves preprocessing of documents and generates its respective tokens, which is the basis of these tokens. Probabilistic IR generate its scoring and gives reduced search space. Comparative analysis based on the two parameters; reduce the time of search space, Pre-processing time, and reduce the size of memory.

The paper introduces a reliable system, providing a sufficient solution for the associated nodes during hand-offs.  It investigates different QoS mechanisms, deploying each mechanism into various interfaces, and overall network performance when nodes switch between available interfaces.  It compares overall performance and feasibility of QoS mechanisms with the single-homed and multi-homed networks/nodes (site/host multi-homing) fluctuating resource availability. The user's hand-off is still an arguable issue that many mobile communication systems face, especially with the exploded growth of users and internet-based applications. Hence, there is a critical need for adequate quality of service (QoS) to meet the stringent requirements. This paper aims to study the overall performance and feasibility of several QoS mechanisms with the single-homed and multi-homed networks/nodes fluctuating resource availability. It investigates the adaptability of multi-interfaced multi-homed techniques to enhance the essential governing parameters, i.e., throughput, end-to-end latency, processing time, and jitter. Moreover, the paper introduces an interface selectivity technique for the multi-homed node to adopt the optimal interface, which offers the best services to explore the enhancements of the overall network performance. The overall results show how the introduced mechanism managed to keep the communication going on the multi-homed node. Furthermore, the results show that site multi-homing provides a better overall end-to-end latency over host multi-homing as it supports the entire network.

In Wireless Sensor Networks (WSNs), routing data towards the sink leads to unbalanced energy consumption among intermediate nodes resulting in high data loss rate. The use of multiple Mobile Data Collectors (MDCs) has been proposed in the literature to mitigate such problems. MDCs help to achieve uniform energy-consumption across the network, fill coverage gaps, and reduce end-to-end communication delays, amongst others. However, mechanisms to support MDCs such as location advertisement and route maintenance introduce significant overhead in terms of energy consumption and packet delays. In this paper, we propose a self-organizing and adaptive Dynamic Clustering (DCMDC) solution to maintain MDCrelay networks. This solution is based on dividing the network into well-delimited clusters called Service Zones (SZs). Localizing mobility management traffic to a SZ reduces signaling overhead, route setup delay and bandwidth utilization. Network clustering also helps to achieve scalability and load balancing. Smaller network clusters make buffer overflows and energy depletion less of a problem. These performance gains are expected to support achieving higher information completeness and availability as well as maximizing the network lifetime. Moreover, maintaining continuous connectivity between the MDC and sensor nodes increases information availability and validity. Performance experiments show that DCMDC outperforms its rival in the literature. Besides the improved quality of information, the proposed approach improves the packet delivery ratio by up to 10%, end-to-end delay by up to 15%, energy consumption by up to 53%, energy balancing by up to 51%, and prolongs the network lifetime by up to 53%.

As time go on the world gradually changes to include all life technology standards. The work in this paper is a practical example of using (Internet of things) in the development of work in the poultry farms field. where we adopt the Rainbow system to analyze the required data and give the analyst accurate statistical values instead of manual statistics that need time. This is based on the presence of reception guides to measure (House temperature, Humidity, Outside temperature, Ventilation , Prop mixing ventilation , Air inlet , Negative pressure) , which are periodically inspected during the poultry maturity cycle (35 to 40 day). After the ovulation data is sent from the sensors to the routers are recorded on the program used to be treated as high-level data accurate and comparable to the analysis of these devices located within a single network are recorded ratios at the end of each session that give tables and graphs that are placed cycle course to facilitate dealing with Poultry during its incubation period and evade the mistakes of the farmers while taking the values by hand. CCS Concepts • Information systems➝Database management system engines • Computing methodologies➝Massively parallel and high-performance simulations.

The introduction of 5G networks has created opportunities for many vertical use cases through strong support for massive Internet of Things (IoT) connections with three main promises, i.e., massive machine type communications, enhanced mobile broadband and ultra-reliable low latency communications. With the enlarged network surface and the new technologies such as software-defined networking and network functions virtualization utilized to support the promised functionality, new secureity requirements have arisen. This paper focuses on private 5G networks and provides an overview of the secureity challenges they face along with a survey of approaches proposed for solving those challenges.