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Abstract. Wireless communication is one of the fastest growing technologies all over the world. Especially, Adhoc Network is applied wide spread across the world in many different applications, which includes all major engineering systems, vehicular network etc...The optimal routing is an issue in the adhoc network and many researchers focused their attention and developed various methodologies which are feasible for certain situations. This paper proposes a honey bee mating algorithm for adhoc routing, which is a swarm intelligence technique, and this technique is already applied for data clustering; scheduling and resource allocation; optimization problems. The various benchmark proposed by the researcher for the artificial honey bee shows better result than the existing techniques. This paper has restructured the artificial bee colony algorithm from the initialization phase to the implementation phase, and shows better result than the existing methodology.

The main objective of image fusion for multimodal medical images is to retrieve valuable information by combining multiple images obtained from various sources into a single image suitable for better diagnosis. In this paper, a detailed survey on various existing medical image fusion algorithms, with a comparative discussion is presented. Image fusion algorithms available in the current literature are categorized into various methods known as (1) morphological methods, (2) human value system operator based methods, (3) sub-band decomposition methods, (4) neural network based methods, and (5) fuzzy logic based methods. This research concludes that even though there exists a few open-ended creative and logical difficulties, the fusion of medical images in many combinations assists in utilizing medical image fusion for medicinal diagnostics and examination. There is tremendous progress in the fields of deep learning, artificial intelligence and bio-inspired optimization techniques. Effective utilization of these techniques can be used to further improve the efficiency of image fusion algorithms.

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