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Biologically Inspired Energy Efficient Routing Protocol in Disaster Situation

Chavan Shankar D., Thorat Amruta S., Gunjal Monica S., Vibhute Anup S., Desai Kamalakar R.

International Journal of Electronics and Telecommunications

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2023

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Vol. 69, No. 1

163--168

EN

Wireless sensor network (WSN) plays a crucial role in many industrial, commercial, and social applications. However, increasing the number of nodes in a WSN increases network complexity, making it harder to acquire all relevant data in a timely way. By assuming the end node as a base station, we devised an Artificial Ant Routing (AAR) method that overcomes such network difficulties and finds an ideal routing that gives an easy way to reach the destination node in our situation. The goal of our research is to establish WSN parameters that are based on the biologically inspired Ant Colony Optimization (ACO) method. The proposed AAR provides the alternating path in case of congestion and high traffic requirement. In the event of node failures in a wireless network, the same algorithm enhances the efficiency of the routing path and acts as a multipath data transmission approach. We simulated network factors including Packet Delivery Ratio (PDR), Throughput, and Energy Consumption to achieve this. The major objective is to extend the network lifespan while data is being transferred by avoiding crowded areas and conserving energy by using a small number of nodes. The result shows that AAR is having improved performance parameters as compared to LEACH, LEACH-C, and FCM-DS-ACO.

2

Efficient storage, retrieval and analysis of poker hands: An adaptive data framework

Gorawski M., Lorek M.

International Journal of Applied Mathematics and Computer Science

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2017

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Vol. 27, no. 4

713--726

EN

In online gambling, poker hands are one of the most popular and fundamental units of the game state and can be considered objects comprising all the events that pertain to the single hand played. In a situation where tens of millions of poker hands are produced daily and need to be stored and analysed quickly, the use of relational databases no longer provides high scalability and performance stability. The purpose of this paper is to present an efficient way of storing and retrieving poker hands in a big data environment. We propose a new, read-optimised storage model that offers significant data access improvements over traditional database systems as well as the existing Hadoop file formats such as ORC, RCFile or SequenceFile. Through index-oriented partition elimination, our file format allows reducing the number of file splits that needs to be accessed, and improves query response time up to three orders of magnitude in comparison with other approaches. In addition, our file format supports a range of new indexing structures to facilitate fast row retrieval at a split level. Both index types operate independently of the Hive execution context and allow other big data computational frameworks such as MapReduce or Spark to benefit from the optimized data access path to the hand information. Moreover, we present a detailed analysis of our storage model and its supporting index structures, and how they are organised in the overall data framework. We also describe in detail how predicate based expression trees are used to build effective file-level execution plans. Our experimental tests conducted on a production cluster, holding nearly 40 billion hands which span over 4000 partitions, show that multi-way partition pruning outperforms other existing file formats, resulting in faster query execution times and better cluster utilisation.

3

Analysis of redundant trajectory generator's accuracy

Gronowicz A., Wudarczyk S.

Archives of Civil and Mechanical Engineering

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2004

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Vol. 4, no 1

5-16

EN

A planar mechatronic system with three degrees of freedom (a link mechanism having a closed structure and controllable drives) can execute any trajectory. Owing to the third drive the workspace is increased, but at the same time the problem of selecting driving functions for the execution of a particular trajectory arises. This paper deals with the effect of drive setting accuracy on the deviations in the execution of workspace points. A possible way of optimising the deviation of trajectories is shown. The accuracy ofan illustrative system' s work is analysed.

PL

Płaski układ mechatroniczny o trzech stopniach swobody - mechanizm dźwigniowy o strukturze zamkniętej wyposażony w sterowane napędy - może realizować dowolną trajektorię. Trzeci napęd zwiększa strefę roboczą, a jednocześnie pojawia się problem wyboru funkcji napędowych dla realizacji określonej trajektorii. W pracy przedstawiono wpływ dokładności ustawienia napędów na odchyłki realizowanych punktów strefy roboczej. Pokazano możliwy sposób optymalizacji odchyłek trajektorii, przedstawiono charakterystykę przykładowego układu pod kątem dokładności jego pracy.

4

Artificial intelligence using for control and optimization vehicle motion

Mańka A.

Zeszyty Naukowe. Transport / Politechnika Śląska

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2002

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z. 45

231-238

EN

This paper describes method and possibility of utilization artificial intelligence method for group of vehicle traffic control in dynamical changeable environment with possibility of path optimization. As a example was described possibility utilization of genetic algorithm connected to simulation computer program as tools for generation and motion optimization.

PL

W artykule opisano sposób i możliwości wykorzystania metod sztucznej inteligencji do sterowania ruchem grupy pojazdów w środowisku z dynamicznie zmieniającą się konfiguracją przeszkód oraz możliwości optymalizacji drogi. Opisano również przykład wykorzystania algorytmu ewolucyjnego połączonego z programem symulacyjnym jako narzędzia do generowania i optymalizacji drogi.