Designing Cooperation Strategy in a 3D Hunting Game Using Swarm Intelligence

Author(s):  
E. G. Castro ◽  
M. S. G. Tsuzuki
Author(s):  
A. Radhika ◽  
D. Haritha

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.


2018 ◽  
Vol 6 (1) ◽  
pp. 38-52
Author(s):  
Wirdah Amaliyah Permadi

This study is an analysis of positive politeness strategies in Midnight in Paris movie by Woody Allen. The writer takes positive politeness strategies in a movie because the writer believes that people can learn pragmatics deeper through a movie and wants to see how the positive politeness strategies are employed in a movie through dialogues, since the writer also believes that understanding politeness is important. The aims of this study are to mention and describe the kinds of positive politeness strategies that are employed by the characters in Midnight in Paris movie and to explain the reasons that influence the characters to employ those strategies. This study uses qualitative method. The source of the data is taken from a Hollywood movie entitled Midnight in Paris by Woody Allen. The data is in the form of sentences which deal with utterances related to the positive politeness strategies. The data are utterances employed by the characters from the movie which indicate positive politeness strategies. The data are analyzed into kinds of positive politeness strategies. The writer finds that there are 13 positive politeness strategies in this movie from 50 data. Exaggerate (interest, approval, sympathy with H) strategy is the most dominant kind of positive politeness strategies employed by the characters in Midnight in Paris movie with 15 data, while both assert or presuppose knowledge of and concern for the hearer’s wants strategy and give gifts to H (goods, sympathy, understanding, cooperation) strategy are the lowest with only 1 datum of each strategy.


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