The network as a computer: A framework for distributed computing over iot mesh networks

E Di Pascale, I Macaluso, A Nag… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Ultradense Internet of Things (IoT) mesh networks and machine-to-machine
communications herald an enormous opportunity for new computing paradigms and are …

CDMR: Effective computing-dependent multi-path routing strategies in satellite and terrestrial integrated networks

C Wang, Z Ren, W Cheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of science and technology, Satellite and Terrestrial Integrated
Network (STIN) can effectively make up for the defects in the terrestrial network coverage …

Traffic routing-based computation offloading in cybertwin-driven internet of vehicles for V2X applications

B Ma, Z Ren, W Cheng - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet of Vehicles (IoV), a lot of Vehicle-to-Everything
(V2X) applications have sprung up. To tackle the conflict between the resource-hungry V2X …

CONDENSE: A reconfigurable knowledge acquisition architecture for future 5G IoT

D Vukobratovic, D Jakovetic, V Skachek… - IEEE …, 2016 - ieeexplore.ieee.org
In forthcoming years, the Internet of Things (IoT) will connect billions of smart devices
generating and uploading a deluge of data to the cloud. If successfully extracted, the …

A neural-network-based realization of in-network computation for the Internet of Things

N Kaminski, I Macaluso, E Di Pascale… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Ultra-dense Internet of Things (IoT) networks and machine type communications herald an
enormous opportunity for new computing paradigms and are serving as a catalyst for …

How to distribute computation in networks

D Malak, A Cohen, M Médard - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
In network function computation is as a means to reduce the required communication flow in
terms of number of bits transmitted per source symbol. However, the rate region for the …

Optimal embedding of functions for in-network computation: Complexity analysis and algorithms

P Vyavahare, N Limaye… - IEEE/ACM Transactions …, 2015 - ieeexplore.ieee.org
We consider optimal distributed computation of a given function of distributed data. The input
(data) nodes and the sink node that receives the function form a connected network that is …

低轨卫星网络中业务图驱动的星间协作计算方案

国晓博, 任智源, 程文驰, 纪哲 - 天地一体化信息网络, 2021 - infocomm-journal.com
低轨卫星网络具备覆盖范围广, 星地链路短等优点, 成为当前的热点研究领域.
针对将业务卸载到云计算中心产生过高传输时延的问题, 提出在低轨卫星网络中实现业务图驱动 …

Lower bounds for in-network computation of arbitrary functions

IA Gillani, P Vyavahare, A Bagchi - Distributed Computing, 2021 - Springer
In this paper, we provide a family of bounds for the rate at which the functions of many inputs
can be computed in-network on general topologies. Going beyond simple symmetric …

A relation between network computation and functional index coding problems

A Gupta, BS Rajan - IEEE Transactions on Communications, 2016 - ieeexplore.ieee.org
In contrast to the network coding problem wherein the sinks in a network demand subsets of
the source messages, in a network computation problem, the sinks demand functions of the …