Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems

Abstract

In future autonomous systems, wireless multi-hop communication is key to enable collaboration among distributed agents at low cost and high flexibility. When many agents need to transmit information over the same wireless network, communication becomes a shared and contested resource. Event-triggered and self-triggered control account for this by transmitting data only when needed, enabling significant energy savings. However, a solution that brings those benefits to multi-hop networks and can reallocate freed up bandwidth to additional agents or data sources is still missing. To fill this gap, we propose control-guided communication, a novel co-design approach for distributed selftriggered control over wireless multi-hop networks. The control system informs the communication system of its transmission demands ahead of time, and the communication system allocates resources accordingly. Experiments on a cyber-physical testbed show that multiple cart-poles can be synchronized over wireless, while serving other traffic when resources are available, or saving energy. These experiments are the first to demonstrate and evaluate distributed self-triggered control over low-power multihop wireless networks at update rates of tens of milliseconds.

Performance Anatomization of Routing Protocols in Wireless Sensor Network

“…For the 1 st time, it is 3000J and at the end of 10 iterations, the residual energy is 2995J. The reduction in energy happens using the following logic (5) Where UE is updated energy level [7], CE is the current energy level and Ec is the energy consumed. For instance, if the energy required is assumed as 20J, energy for amplification is 10J, the distance between two nodes is 10.34 m and environment factor is 0.7 with the node initial energy value as 3000J then the updated energy level can be computed as below UE=3000-(2*20+10*10.34^0.7) =2908.703J (6) The remaining part of the paper is organized as follows first the existing work present in the literature is presented, secondly, the EEDR method is discussed in detail, thirdly several existing methods namely DSDV, AODV and ZRP are discussed.…”

Reckoning Network Lifetime Ratio for Wireless Sensor Network

“…The optimization of the network is performed by making use of effective spectrum and resource allocation. Multi-Hop communication makes use of distributed agents which are of low cost and also offer a high amount of flexibility [58]. Since there are many distributed agents then for communication the agents have to make use of a resource that is shared.…”

Distributed Event Triggering Algorithm for Multi-Agent System over a Packet Dropping Network

“…Such event-triggered control strategies have recently been applied to multi-agent systems [ 2 , 3 , 4 , 5 , 6 ]. An important aspect of using ETC control strategies on multi-agent systems is that the subsystems should be coordinated without any extra components such as a coordinator.…”

“…Furthermore, each agent has only limited access to the sensor information of other agents due to the limitations of communication capabilities. Based on these circumstances, a multi-agent system that is controlled through the wireless network requires a distributed control law and distributed control methods for designing the individual controllers for each agent [ 6 ].…”