Over-the-air Function Computation in Sensor Networks
By Omid Salehi-Abari, Hariharan Rahul, Dina Katabi. 2016
134 citations recorded by the source corpus.
Many sensor applications are interested in computing a function over measurements (e.g., sum, average, max) as opposed to collecting all sensor data. Today, such data aggregation is done in a cluster-head. Sensor nodes transmit their values sequentially to a cluster-head node, which calculates the aggregation function and forwards it to the base station. In contrast, this paper explores the possibility of computing a desired function over the air. We devise a solution that enables sensors to transmit coherently over the wireless medium so that the cluster-head directly receives the value of the desired function. We present analysis and preliminary results that demonstrate that such a design yield a large improvement in network throughput.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Sebastian U. Stich
- Medhi Bennis
- Martin Jaggi
- Jianyu Wang
- Aurélien Bellet
- Kaibin Huang
- Changsheng You
- Jun Zhang
In Electrical and Electronic Engineering
- Jianyu Wang
- Gauri Joshi
- Changsheng You
- Martin Jaggi
- Kaibin Huang
- Medhi Bennis
- Jakub Konecný
- Oluwasanmi Koyejo
In Signal Processing
- Rasmus Pagh
- Badih Ghazi
- Ananda Theertha Suresh
- Dawn Song
- Florian Tramèr
- Phillip B. Gibbons
- Prateek Mittal
- Arjun Nitin Bhagoji
Citations in the corpus
- Advances and Open Problems in Federated Learning (2019, background): “broadcast and superposition) as natural data aggregators, in which the simultaneously transmitted analog-waves by different workers are superposed at the server and weighed by the wireless channel coefficients [8].”
- One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis (2020, unknown): “A practical implementation is presented in [25].”
- A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs (2024, background): “One intelligent solution to tackle this is to integrate computing into communication, referred to as over-the-air computation (AirComp) [307], [308], [309].”
- Broadband Analog Aggregation for Low-Latency Federated Edge Learning (2018, background): “Another vein of research focuses on transforming AirComp from theory into practice by prototyping [22] and addressing the practical issue of synchronization over sensors [23], [24].”
- Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence (2019, methodology): “Over-the-air computation (AirComp) is a typical technique used to realize it [42], [43].”
- Towards an Intelligent Edge: Wireless Communication Meets Machine Learning (2018, methodology): “This intuition has been captured by a recently proposed technique called over-the-air computation (AirComp) [5], [6].”