This chapter introduces a swarm intelligence-inspired approach for target allocation in large teams of autonomous robots. For this purpose, the Distributed Bees Algorithm (DBA) was proposed and developed by the authors. The algorithm allows decentralized decision-making by the robots based on the locally available information, which is an inherent feature of animal swarms in nature. The algorit...

A swarm is a ‘‘complex adaptive system’’, which is decentralized and self-organized and whose individuals are simple, homogeneous and autonomous. Swarm intelligence is defined to describe its emergent behaviors. Both wireless sensor networks and mobile multi-robots demonstrate swarm features. This paper first discusses the challenges of combining wireless sensor networks and mobile multi-robots...

Swarm Intelligence is an emerging area that has recently captured much attention in the field of network routing. In addition to conventional approaches, many new researches have proposed the implementation of Swarm Intelligence for WSN routing. Routing based on SI, is adaptive and dynamic in nature. In this paper, bioinspired routing protocols have been discussed. In this work a study and evol...

Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the very easy hobby to do. But, many people are not interested in this hobby. Why? Boring is the reason of why. However, this feel actually can deal with the book and time of you reading. Yeah, one that we will refer to break the boredom in reading is choosing multi obje...

In 1989 Gerardo Beni and Jing Wang first proposed the name ―Swarm Intelligence‖ in their paper ―Swarm Intelligence in Cellular Robotic Systems‖. Some remarkable observations of different researchers are studied in this paper, like the proximity principle, the quality principle, the principle of diverse response, the principle of stability, the principle of adaptability. To enhance the capabilit...

In this chapter, we introduce three nature inspired swarm intelligence clustering approaches for document clustering analysis. The major challenge of today’s information society is being overwhelmed with information on any topic they are searching for. Fast and high-quality document clustering algorithms play an important role in helping users to effectively navigate, summarize, and organize th...

Designing multi-hop protocols and implementing algorithms for wireless sensor networks (WSNs) is an area of research. The concept of swarm intelligence(SI) presents various protocols suitable for field of WSNs and the intelligence of nature inspired techniques like that of bees proves to be an inspiration for working of nodes in different areas of applications. In this paper, we discuss the rou...

Swarm intelligence via its infamous struggle to identify a suitable balance between exploration and exploitation phases, provides a valuable mean to approach artificial creativity. This work deploys two swarm intelligence algorithms, one simulating the behaviour of birds flocking and fish schooling (Particle Swarm Optimisation) and the other mimicking the behaviour of ants foraging (Stochastic ...

Image compression is one of the most important and successful applications of the wavelet transform. Images will have huge amount of information which require more storage space, and high transmission bandwidths and more transmission time. So it is important to compress the image by eliminating the redundant information in the image and encoding only the essential information. As multimedia inf...