A Simple and Efficient Way to Save Energy in Multihop Wireless Networks with Flow Aggregation

Abstract

Today, whether in industry, research, or civil applications, there are many incentives to reduce the energy footprint of automated systems. In multihop wireless networks, the main objective in that regard is usually to maximize the lifetime of the network by distributing the load over all nodes. In this paper, we improve a solution that aggregates flows to optimize the number of nodes that can be turned off. We introduce interference awareness in a routing metric designed to aggregate flows to avoid overloading the network and to preserve the quality of service required by the flows. This way, it becomes possible to integrate this metric into classical shortest path routing algorithms that do not consider interference. We also show that flow aggregation and overall energy consumption are equivalent problems.

Horizontal 6G

“…Starting up a node is more complicated, as it has to be determined if the node has become useful again. A simple solution is to turn it on, for example, every 30 seconds, to test the usefulness of the node and then switch if off again if it is not useful [9], [10].…”

Hybrid Genetic Algorithm Combining Simulated Annealing for Task Allocation with Data Security

“…A plethora of studies have been focusing on designing energy-aware task allocation schemes for MWNs, e.g., [4]- [6], to tackle the challenges of energy efficiency and short latency requirement. In [4], an online reinforcement learning algorithm is presented to distribute the tasks based on the historical statistics.…”

“…Targeting at a tree structure wireless networks, the authors in [5] present both a centralized and a distributed task allocation algorithms to fairly allocate the tasks across the network. In [6], an adaptive flow aggregation metric has been proposed, taking interference into account, to balance the network workload for MWNs. However, the security threat problem should be considered by these approaches to guarantee the successful collaboration over the vulnerable wireless channel.…”