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One To One is Now Digital and Multiple with Device Mesh

Posted by Indusa Admin on November 15, 2016 12:42 pm

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We’re nearing the end of the year 2016, which has seen the introduction of many significant technological trends. 2017 is all set to herald even further trend-setting innovations in the technology space.

According to Gartner, one of the top strategic technological trends which the digital world is going to witness in the near future is “device mesh”, making a widespread impact in the way humans and organizations make decisions.


What is device mesh all about?

The Internet of Things (IoT) has played an instrumental role in providing seamless connectivity between users and devices in the post-mobile world. Even now, users and organizations are encircled by a “mesh “of internet connected devices which go well beyond traditional mobile devices.

Device mesh includes a host of devices such as mobiles, wearables, and consumer and home appliances which are used as access points by end users to access applications, extract information, and interact with social communities, enterprises, and people at large through sensors embedded in them. As this mesh of devices expands, a greater cooperative model of interaction between the devices and end users is set to evolve.

David Cearley, vice president and Gartner Fellow, postulates that the “information has always existed everywhere but has often been found in an isolated, incomplete, and unintelligible form”. Advances in data classification and information analysis techniques will bring meaning to this chaotic deluge of information-.

The combined power of IoT and Device Mesh
Gartner predicts that by 2018 there will be a projected 6 billion connected devices generating massive information that needs to be securely interpreted to make decisions. Device mesh and IoT are the answer to making these interconnected devices more secure, intelligent, and responsive.

By configuring embedded devices to automatic design updates, network changes, and application outlines, we can encourage machine learning, coordination, and its adaptability to cloud based environments.

While the gadgets are progressively associated with back-end frameworks through different systems, they have still functioned in disconnection with each other. As the gadget network develops, there is an expectation that the association models between them will also evolve, resulting in a more prominent and agreeable connection between the gadgets.

Pervasiveness: going beyond individual end users
Organizations from various industry verticals such as healthcare, education, transportation, and sports are bolstering their digital services and systems.

Device Mesh Diagram

Consumer Appliances: Facilitating an architecture that oversees and monitors a host of consumer appliances such as air conditioners, water pumps, and cooking devices empowers consumers to set on-off pinpoints which aid in substantial energy saving.

Healthcare: The inter-compatibility of medical devices assists in remote monitoring of patients and secured access of medical records, ultimately energizing the overall mobile healthcare system.

Traffic management systems: Smart traffic flags and activity control frameworks will have the ability to take a view of genuine circumstances with no manual intervention. For instance, autonomous intersection management is a concept which makes vehicles smart enough to slow down or speed up depending on the signal received from the sensors.

Hospitality: The hospitality industry which includes hotels, lodging, and boarding facilities can transform their guest experience by using the coordinated flow of information between various devices such as air conditioners and coffee vending machines which together will fill in as an associated framework and react according to changing circumstances.

Culminating the IoT and Device Mesh experience
Everything in the network of digital mesh produces, uses, and transmits information with the sole objective of upgrading the user experience standards. This information goes beyond the standard textual, visual, and audio version and includes sensory and contextual information. This information, when subjected to advanced machine learning techniques, can create systems that can independently learn to perceive the situation and behave in an appropriate manner, directly reducing human intervention to minimalistic levels culminating a refined and sleek user experience.

Read a real life business case to learn how a remote control mobile app improves operations of a manufacturer and provides its consumers a powerful medium to monitor and control air conditioners from their mobile devices in realtime.

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About the Author – Manan Thakkar

Manan Thakkar is a Solution Architect who spearheads&Indusa’s strategic initiatives to maximize customer benefits. His expertise is in enterprise consulting and solution design globally and he plays a key role in institutionalizing mobility to position Indusa’s services in leading enterprises.