A proficient heuristic for selecting friends in social Internet of Things
| Autor: | Archudha Arjunasamy, Thangarajan Ramasamy |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.product_category
business.industry Smart objects Computer science 020206 networking & telecommunications 02 engineering and technology Average path length World Wide Web Web of Things 0202 electrical engineering electronic engineering information engineering Internet transit Navigability 020201 artificial intelligence & image processing The Internet business Communications protocol Internet appliance |
| Zdroj: | 2016 10th International Conference on Intelligent Systems and Control (ISCO). |
| DOI: | 10.1109/isco.2016.7727014 |
| Popis: | Internet of things (IOT) has a large number of smart objects which automatically interacts with each other through various communication protocols. They also cooperate with their neighbors to reach common goals. As the number of devices on the internet increases, the searching for right device which would provide the desired service becomes essential. Social networking concepts are incorporated into Internet of Things called Social Internet of Things (SIOT). Smart objects can find the desired services through its friends in a decentralized manner using only local information. In this work, a heuristic for efficient selection of friends is proposed to improve the overall network navigability. An analysis is also performed based on giant component, local clustering coefficient, average path length and average degree of connections. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|