In this paper, we present a bio-inspired job scheduling mechanism that enables the adaptation of largescale, naturally parallel and compute-intensive Monte Carlo tasks to clustered computational farms. Examples of such farms include large-scale computational grids, with heterogeneous and dynamic performance. The kernel of this scheduling mechanism is a swarm intelligent algorithm, which is insp...

Nature is the immense gifted source for solving complex problems. It always helps to find the optimal solution to solve the problem. Mobile Ad Hoc NETwork (MANET) is a wide research area of networks which has set of independent nodes. The characteristics involved in MANET’s are Dynamic, does not depend on any fixed infrastructure or centralized networks, High mobility. The Bio-Inspired algorith...

This paper introduces a new metaheuristic algorithm named the Osprey Optimization Algorithm (OOA), which imitates behavior of osprey in nature. The fundamental inspiration OOA is strategy ospreys when hunting fish from seas. In this strategy, hunts prey after detecting its position, then carries it to suitable position eat it. proposed approach two phases exploration and exploitation mathematic...

In order to achieve the sensing, communication and processing tasks of Wireless Sensor Networks, an energy-efficient routing protocol is required to manage the dissipated energy of the network and to minimalize the traffic and the overhead during the data transmission stages. Clustering is the most common technique to balance energy consumption amongst all sensor nodes throughout the network. I...

A wireless sensor network typically comprises a number of inexpensive power constrained sensors which collect data from the sensing environment and transmit them towards the base station in a coordinated way. Employing techniques of clustering and election of cluster heads can increase the transmission efficiency and prolong the network lifetime. This paper proposes a bio-inspired de-centralize...

This paper presents a novel and bio-inspired algorithm for distributed division of labour in swarms of artificial agents (e.g., autonomous underwater vehicles). The algorithm is inspired by division of labour via local interactions in social insects. The algorithm is successfully implemented in virtual agents and simulated robot swarms and demonstrates a high adaptivity in response to changes i...

There is an emerging research area to adopt bio-inspired algorithms to self-organize an information network system. Despite strong interests on their benefits, i.e. high robustness, adaptability, and scalability, the behavior of bio-inspired algorithms under non-negligible perturbation such as loss of information and failure of nodes observed in the realistic environment is not well investigate...