A Review on Location Based Services for Mobile Games

Xanthopoulos, Spyros; Xinogalos, Stelios

doi:10.1145/3003733.3003770

Cited by 5 publications

(1 citation statement)

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“…The main problems that were recorded after a gap analysis in terms of game performance were: the file size of the game; the duration of installation; and delay between scenes. Xanthopoulos and Xinogalos in a review of location-based services for mobile games investigate the additional challenges imposed by the specific type of mobile games due to the need for determining the user's location, as well as best practices for battery efficiency and game performance [5]. The additional challenges imposed by the need to determine the location of a user are: providers' tradeoffs in accuracy, speed and battery efficiency; constant re-estimation of the user's location; and varying accuracy of location estimation from different sources.…”

Section: Introductionmentioning

confidence: 99%

Improving Mobile Game Performance with Basic Optimization Techniques in Unity

Koulaxidis

Xinogalos

2022

Modelling

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Creating video games can be a very complex process, which requires taking into account various hardware and software limitations. This process is even more complex for mobile games, which are limited to the resources that their platforms (mobile devices) offer in comparison to game consoles and personal computers. This restriction makes performance one of the top critical requirements, meaning that a videogame should be designed and developed more carefully. In order to reduce the resources that a game uses, there are optimization techniques that can be applied in different stages of the development. For the purposes of this article, we designed and developed a simple shooter videogame, intended for Android mobile devices. The game was developed with the Unity game engine and most of the models were designed with the 3D computer graphics software Blender. Two versions of the game were developed in order to study the differences in performance: one version that applies basic optimization techniques, such as low poly count for the models and the object pooling algorithm for the enemy’s spawn; and one where the aforementioned optimizations were not used. Even though the game is not large in scale, the optimized version achieves a better user experience and needs less resources in order to run smoothly. This means that in larger and more complex video games these optimizations could have a bigger impact on the performance of the final product. To measure how the techniques affected the two versions of the game, the values of frames per second, batches and triangles/polygons were taken under consideration and used as metrics for game performance in terms of CPU usage, rendering (GPU usage) and memory usage.

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Section: Introductionmentioning

confidence: 99%