Volume 1, Issue 3 (2013) 124-127 ISSN 2347 - 3258 International Journal of Advance Research and Innovation 124 IJARI Biologically inspired networking: A solution over the challenges of ordinary networking Sachin Chaudhary * , Anjna Chaudhary Department of Computer Science & Engineering, TMU, Moradabad, Uttar Pradesh, India Abstract The steadily growing speed of technological development, computer networks are becoming increasingly complex. At the same time, they must fulfill ever higher requirements in terms of performance, scale, robustness etc. while minimizing their use of resources and adapting to dynamics. The communication between network embedded systems has become a major research domain in the communication network area. Wireless sensor network (WSN) and sensor/actuator network (SANET) build of huge amounts of interacting nodes build the basis for this research. From very long time, nature and biology have inspired new technologies. In computer networking and specifically wireless networks, this field of bio-inspired networking is new and becomes very popular with the emergent of new types of networks with intelligent and autonomous mobiles and/or base stations. Bio Inspired networking has fostered new developments in networking, especially in the most challenging domains such as handling large scale networks, their dynamic nature, resource constraints, heterogeneity, unattended operation, and robustness. 1. Introduction Our computer networks [1] are increasingly facing some challenges as they grow larger in size, but are yet to be able to achieve the same level of robustness and adaptability. The term bio-inspired has been introduced to demonstrate the strong relation between a particular system and algorithm, which has been proposed to solve a specific problem, and a biological system, which follows a similar procedure or has similar capabilities. Many methods and techniques are really bio-inspired as they follow principles that have been studied in nature and that promise positive effects if applied to technical systems. We have witnessed unprecedented growth of the Internet. Moreover, the Internet continues to evolve at a rapid pace in order to utilize the latest technological advances and meet new usage demands. It has been a great research challenge to find an effective mean to influence its future and to address a number of important issues facing the Internet today, such as overall system security, routing scalability [2], effective mobility support for large numbers of * Corresponding Author, E-mail address: sachin.chaudhary126@gmail.com All rights reserved: http://www.ijari.org moving components and the various demands put on the network by the ever-increasing number of new applications and devices. A complicated, strictly organized internal structure is necessary for any system to exhibit robust external behavior. There is an inherent trade-off between structural simplicity and robustness. Both the human body and the Internet have a complex, strictly organized internal structure. The human body has many different organs and physiological systems, each of which serves a specific purpose. A kidney cannot serve as a lung not vice versa. The Internet also contains a number of specialized devices. At its core there are high-speed routers, which single- mindedly forward data in a highly optimized manner. At the edges of the network there is a diverse array of application-oriented devices, such as laptop computers and cellular phones. A high-speed router would be no more helpful in reading our e-mail as a kidney would be no more helpful in oxygenating our blood. Technical challenges include the management of thousands and millions of inter-networking devices that have to be organized using scare resources and disruptive communication channels [3]. In spite of Article Info Article history: Received 1 November 2013 Received in revised form 20 November 2013 Accepted 30 November 2013 Available online 15 December 2013 Keywords Ant Colony Optimization (ACO), Wireless Sensor Networks, Overloading, Artificial Immune Systems