Collaborative Sensing Networks: What is the trade-off of frictionless living?

Photo by Markus Spiske on Unsplash

You’re probably aware of the ‘Internet of Things’ — the various systems and objects within our physical lives that are equipped with sensors and software, allowing them to be interconnected and exchange data via a network, all happening with minimum human intervention. These things can range from phones, appliances, smart watches, thermostats, lighting systems, security cameras, vehicles, and more.

These systems have become commonplace within people’s lives. Now, here is the next step of this highly technologically interconnected reality: collaborative sensing.

This emergent phenomenon, often paired with its practical and technological manifestation known as Collaborative Sensing Networks, describes when the sensing capabilities of a group dramatically surpass the individual capacities of its members.

Applied technologically, collaborative sensing networks involve the coordinated effort of a collection of sensors to accomplish large-scale sensing tasks within the Internet of Things environment. The intended outcome is to move beyond the collection of data, and instead ensuring environments, business, and organisations are working at peak synchronisation and at their most efficient level of output.

This harmonisation and collaboration of multiple different information system has potential to streamline and improve productivity in a variety of public services. However, as with any emerging technology, a range of design, technical, and social challenges arise.

The problem it aims to solve

Collaborative sensing is typically sold as a solution to incomplete information. No single sensor sees everything, plus having to comb through and analyse large amounts of unstructured data requires complex systems that take time to work. Collaborative sensing provides a solution for these processes to happen at the speed needed for real-time decisions and actions.

This technology is currently associated with promising applications in urban mobility, working towards the creation of smart cities and urban infrastructure. Collaborative sensing networks allow for ‘real-time coordination among vehicles, traffic systems, and emergency services’, which lead to improved safety and reduction of traffic and congestion. Picture a world where every vehicle and traffic junction is in perfect synchronisation, allowing for frictionless travel.

These are environments that can dynamically adapt to the needs of citizens and inhabitants by transforming isolated smart devices into responsive extensive management systems. Other areas where collaborative sensing networks have transformative potential is in manufacturing and industrialisation, healthcare and patient monitoring, and smart agriculture.

While there is enormous levels of potential for this technology in these fields, obstacles regarding security and privacy, as well as technical challenges, need to be considered. Moreover, who might be benefitting from this mass-sharing of data and information.

This frictionless future comes with warnings

A future of ‘seamless sensing’ could also be seen as one of seamless monitoring. Sensor data about your movements, health, energy usage, and social interactions, would be flowing continuously to platforms you do not control. Information about an individual’s consumption or shopping habits could be used for targeted advertising, similarly to how data collected from their online habits is used for this purpose.

Already research is being done on how radio frequency identification could be used for targeted advertising in grocery stores, with radio frequency being one of the data collection components used in collaborative sensing networks.

Furthermore, there is the concern that users are not able to ‘opt out’ of the trailing of these technologies when it is happening in their lived day to day realities. With opting out of the using AI or digital platforms, while it can be a challenge in the context of education or work, it is still possible.

Instead, when technology is being tested and trailed in public environments and having real-life impacts on individuals’ lives, it is impossible to avoid being a part of the experiment and not partaking in its adoption.

Who stands to benefit from this tech?

The collaborative sensing network market is a rapidly growing one with the possibility of extensive expansion into many aspects of our lives and industries. While there are technical challenges such as interference management and data synchronisation, as well as social ones such as privacy and surveillance concerns, the global telecom industry’s move towards 6G networks creates a ‘massive upgrade cycle for network infrastructure’ to support the proliferation of this technology.

The Internet of Things market size in 2025 was valued at $1.35 trillion USD, with major players including Google, IBM, Cisco, Microsoft and Huawei. Moreover, this will likely benefit companies and organisations more so than individual consumers. Organisations will now have shared nervous systems and ecosystems, allowing them to work at a new level of efficiency.

A similar approach can be applied to the aforementioned example of healthcare systems, with the NHS using the technology to resolve problems within systems that have been long-since updated or are deeply embedded in the structure.

On the other hand, it is incredibly important to consider the technical risks and possibility of data breaches that comes with the increased integration of Internet of Things within systems and programs. And most importantly, as must be considered with every emerging technology, harm falls unequally and often affects those in marginalised communities disproportionately, especially in terms of job cuts or data biases.

So before we subscribe to a world of seamless flexibility and interconnectedness, let’s consider how much of our lives we would be willing to surrender in the name of productivity.

This article is part of a wider series by Allegra Cuomo on emerging technologies and approaches to governance. To stay in touch and read about her usual focus on Ethics of AI, check out her newsletter here and the publication **InnoEthics: A Philosophy Student’s Take on Ethics of AI.**