Difference between Adaptive and Non-Adaptive Routing algorithms

Routing algorithms are important in the computation of the best routes through which data packets in a network should pass through. Depending on the nature of their implementation they are classified as Adaptive (Dynamic) and Non-Adaptive (Static).

• Category 1: Algorithms that self-organize with reference to current network conditions
• Category 2: Algorithms that follow planned pathways regardless of current network conditions. It therefore becomes important to understand these differences in order to be able to fine-tune the network for maximum efficacy, and stability.

What is an Adaptive Routing algorithm?

An adaptive routing algorithm is also called a dynamic routing algorithm. In this algorithm, the routing decisions are made based on network traffic and topology. The parameters that are used in adaptive routing algorithms are distance, hop, estimated transit time and count. 

The adaptive routing algorithm is of three types -

• Centralized algorithm
• Isolation algorithm
• Distributed algorithm

What is a Non-Adaptive Routing algorithm?

The non-adaptive routing algorithm is also called a static routing algorithm. In a non-adaptive routing algorithm, the routing decisions are not made based on network traffic and topology. This algorithm is used by static routing. Non-adaptive routing algorithms are simple as compared to Adaptive routing algorithms in terms of complexity. 

The non-adaptive routing algorithm is of two types -

• Flooding
• Random walks

Difference Between Adaptive and Non-Adaptive Routing algorithms

Advantages of Adaptive Routing Algorithms

• Dynamic: Adaptive routing algorithms can adjust to changing network conditions, such as traffic congestion, link failures, and topology changes, by selecting a better path for the data packets. This results in better network performance, higher throughput, and reduced latency.
• Load Balancing: Adaptive routing algorithms can distribute network traffic across multiple paths to avoid congestion and ensure that all network links are utilized efficiently.
• Fault Tolerance: Adaptive routing algorithms can reroute data packets around network failures, which enhances network availability and reliability.
• Better Performance: Adaptive routing algorithms can provide better network performance by selecting the shortest or the least congested path for the data packets.

Disadvantages of Adaptive Routing Algorithms

• Complexity: Adaptive routing algorithms are more complex than non-adaptive algorithms, which makes them harder to implement and maintain.
• Overhead: Adaptive routing algorithms require more processing power and memory to execute, which can lead to increased overhead and resource utilization.
• Routing Loops: Adaptive routing algorithms may sometimes result in routing loops, which can cause data packets to be stuck in the network indefinitely.
• Delay: Adaptive routing algorithms may introduce additional delay in the network due to the time required to calculate the best path for each data packet.

Advantages of Non-Adaptive Routing Algorithms

• Simplicity: Non-adaptive routing algorithms are simple to implement and maintain, which reduces the cost and complexity of the network infrastructure.
• Low Overhead: Non-adaptive routing algorithms require minimal processing power and memory to execute, which reduces the overhead and resource utilization.
• Avoid Routing Loops: Non-adaptive routing algorithms are less likely to result in routing loops, which reduces the chances of data packets being stuck in the network indefinitely.
• Fast: Non-adaptive routing algorithms can provide faster routing decisions since they do not require the calculation of the best path for each data packet.

Disadvantages of Non-Adaptive Routing Algorithms

• Inefficient: Non-adaptive routing algorithms may select suboptimal paths for the data packets, which can result in congestion, longer latency, and reduced throughput.
• Inflexible: Non-adaptive routing algorithms cannot adjust to changing network conditions, which may result in network failures, reduced performance, and increased latency.
• Unresponsive: Non-adaptive routing algorithms cannot respond to network faults, which may result in data packet loss and reduced network availability.
• Uneven Traffic Distribution: Non-adaptive routing algorithms may lead to uneven traffic distribution, which may result in some links being underutilized while others are congested.

Conclusion

In conclusion, on-Adaptive routing algorithms are designed to have some advantages and challenges but can be used in specific situations in the network. Algorithms which are adaptive are of more advantage since they are able to adapt to static network conditions, and hence may perform better, load balancing, and fault tolerance. But, it has a cost and that is its complexity and maintenance overhead that required to be managed for its successful working. In contrast to it, the implementation and maintenance of Non-Adaptive routing algorithms are relatively easier, overhead is also comparatively less but they are inefficient in terms of adaptive capabilities that can deal with the changes in the network that in turn lead to inefficient on network resources and can sometimes even capped the network failures. Selecting the right routing algorithm therefore depends with the nature and requirements of the network.