A unifying framework for swarm intelligence-based hybrid algorithms

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN. Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

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An Improved Ad-Hoc Routing Protocol for MANETs using Swarm Intelligence Technique

i-manager s Journal on Mobile Applications and Technologies ◽

10.26634/jmt.2.3.5950 ◽

2015 ◽

Vol 2 (3) ◽

pp. 21-29

Author(s):

P. Sarika ◽

◽

Rama Prasad V. Vaddella ◽

Keyword(s):

Swarm Intelligence ◽

Routing Protocol ◽

Ad Hoc ◽

Ad Hoc Routing ◽

Ad Hoc Routing Protocol ◽

Intelligence Technique

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Character Reorganization and Categorization using Hybrid Algorithms by Scanned Documents

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.f1287.0886s219 ◽

2019 ◽

Vol 8 (6S2) ◽

pp. 943-948

Keyword(s):

Research Work ◽

Hybrid Algorithms ◽

Research Topic ◽

Image Processing Techniques ◽

Digital Books ◽

Otsu Method ◽

Challenging Research ◽

Processing Techniques ◽

Scanned Documents ◽

Day By Day

Detection and reorganization of text may save a lot of time while reproducing old books text and its chapters. This is really challenging research topic as different books may have different font types and styles. The digital books and eBooks reading habit is increasing day by day and new documents are producing every day. So in order to boost the process the text reorganization using digital image processing techniques can be used. This research work is using hybrid algorithms and morphological algorithms. For sample we have taken an letter pad where the text and images are separated using algorithms. The another objective of this research is to increase the accuracy of recognized text and produce accurate results. This research worked on two different concepts, first is concept of Pixel-level thresholding processing and another one is Otsu Method thresholding.

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