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Comparing Mesh, Star & Point-To-Point Topology In IoT Networking

There are several types of IoT topologies for networking, the most common being mesh topology, star topology, and point-to-point topology. To decide which network is best for your smart application, you need to know the advantages and disadvantages of each. We’ve simplified that process for you below.

Mesh Topology

Mesh topology is a type of networking where all nodes cooperate to distribute data in a network. This topology is typically used for things like home automation, smart HVAC control, and smart buildings. The industry standards that rely on mesh network topology include Zigbee, Z-Wave, and Thread.

Read More: What Is Mesh Topology?

The primary advantage of mesh topology is that it has low transmit power and shorter links (< 100 ft), which allows for a fairly long battery life and enables you to move a lot of data around the network.Learn more about AirFinder - Bluetooth plus LoRa tracking.

The primary disadvantage of mesh topology is that the range between two mesh nodes is quite limited. This means you may have to add additional nodes into your network that aren’t strictly necessary—like an extra IoT-enabled thermostat that you don’t actually need for temperature—just so you can keep your mesh connected. Additionally, because of the interconnected nature of a mesh network, if one node goes down in a “choke point,” an entire piece of the network can fail.

Star Topology

Mesh networks are not the only way to solve low power network needs for IoT applications. In fact, a majority of low power, wide-area network (LPWAN) technologies, in addition to WiFi and cellular networks, use a star network topology. A star network has a router or access point in the middle that connects to all the terminals or nodes.

The advantage of star topology is that all the complexity in the network is driven to a central node, so all the other nodes only need to communicate in their time or frequency slot. How they communicate depends on whether wireless multiplexing is done through frequency-division multiple access (FDMA), time-division multiple access (TMA), or code-division multiple access (CDMA).

The primary disadvantage of star topology is that the radio link between the gateway and the end node or terminal can be very long, which means the further a node is away from the gateway, the more energy it has to expend relaying a message. But unlike a mesh node that has to be constantly “awake,” star nodes are able to rest between message transmissions, helping conserve the total amount of energy expended by each node.

Point-to-Point Topology

While mesh and star networks are used to connect multiple ‘things’ to a network, point-to-point topology is used to connect two things together.

The advantage of point-to-point network topology is that it is much simpler than mesh or star, because the topology simply tunnels a flow of data either unidirectionally or bidirectionally between two points.

The disadvantage is that point-to-point networks are not very useful for IoT. They are still used in some SCADA systems, traffic data systems, or in point-to-point broadcast systems (like police or fire radios), but it rarely makes sense in IoT to have a receiver talk to a single node instead of multiple nodes.

Now that you’ve learned more about IoT topology, it’s a good idea to review the benefits and considerations behind the most common wireless technologies using these topologies for your smart application.

This whitepaper goes into more detail on mesh networks and star networks, like WiFi and cellular. Download it today.

IoT Protocol Selection White Paper

Written by Brian Ray

Brian is the Founder and CTO of Link Labs. As the chief technical innovator and leader of the company, Brian has led the creation and deployment of a new type of ultra long-range, low-power wireless networking which is transforming the Internet of Things and M2M space.

Before starting Link Labs, Brian led a team at the Johns Hopkins University Applied Physics Lab that solved communications and geolocation problems for the national intelligence community. He was also the VP of Engineering at the network security company, Lookingglass, and served for eight years as a submarine officer in the U.S. Navy. He graduated from the U.S. Naval Academy and received his Master’s Degree from Oxford University.


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