By Muddassar Farooq
Honey bee colonies display powerful adaptive effective agent-based communications and job allocations with no centralized controls – fascinating gains in community layout. This ebook introduces a multipath routing set of rules for packet-switched telecommunication networks in accordance with concepts saw in bee colonies. The set of rules, BeeHive, is dynamic, uncomplicated, effective, strong and versatile, and it represents a huge step in the direction of clever networks that optimally deal with assets.
The writer courses the reader in a survey of nature-inspired routing protocols and communique recommendations saw in insect colonies. He then deals the layout of a scalable framework for nature-inspired routing algorithms, and he examines a realistic software utilizing actual networks of Linux routers. He additionally makes use of formal ideas to analytically version the functionality of nature-inspired routing algorithms. within the final chapters of the publication, he introduces an immune-inspired safeguard framework for nature-inspired algorithms, and makes use of the knowledge of the hive for routing in advert hoc and sensor networks. eventually, the writer presents a finished bibliography to function a reference for nature-inspired strategies to networking problems.
This publication bridges the distance among traditional computing and desktop networking. What units this ebook except different texts in this topic is its traditional engineering strategy during which the demanding situations and pursuits of a real-world procedure are pointed out prior to its resolution, nature-inspired or another way, is mentioned. This balanced exposition of the publication makes it both compatible for telecommunication community designers and theorists, and machine technological know-how researchers engaged with synthetic intelligence, brokers, and nature-inspired techniques.
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Extra info for Bee-Inspired Protocol Engineering: From Nature to Networks
We first provide a list of attacks that malicious nodes can launch on a network running the BeeHive protocol. We then introduce our BeeHiveGuard security framework, a signature-based security framework in which bee agents are protected by the use of the principles of Public Key Infrastructure (PKI) against tampering of their identity or routing information. An obvious disadvantage of this approach is that the size of bee agents increases manifold because the signatures are added to their payload.
In ACO algorithms, the value of pheromone tij in all links is decreased by a factor p such that tij ← tij (1 − p) . This helps in reducing the influence of past experience during decision making. • Aging. The amount of pheromone that an ant lays on a path decreases with its age; an older ant lays less pheromone than a younger one . Ants mostly assume symmetric links (in which the cost of links in both directions is the same). For asymmetric links, ants measure the costs during a forward trip and deposit pheromone on a backward trip.
The first group consists of path-probing setup ants which probe k different paths leading toward the destination, and the second group consists of path-discovering setup ants which make use of existing pheromone tables to discover new QoS-feasible paths for the applications. Both agent groups reserve resources temporarily as they traverse the paths. 4). Moreover, they always choose the link that has the highest probability value. If the probability values of two best links differ minimally, then the ants are allowed to replicate themselves on both links; however, replication is allowed only once for better control of the number of ants.