Poster abstract: PRK-based scheduling for predictable link reliability in wireless networked sensing and control

Summary form only given. Despite decades of research on interference-oriented channel access scheduling, most existing literature are either based on the physical interference model or the protocol interference model, neither of which is a good foundation for distributed interference control in the presence of uncertainties [2]. To address the issue, Che et al. [2] have identified the physical-ratio-K (PRK) interference model that integrates the protocol model´s locality with the physical model´s high-fidelity. To enable distributed scheduling with predictable performance, we design the PRK-based scheduling protocol PRKS. In PRKS, we model the problem of identifying the PRK model parameter K_S,R,T(S,R) as a minimum-variance regulation control problem, and we design distributed controllers that allow each link to adapt its PRK model parameter for ensuring the desired link reliability through purely local coordination. For ensuring that nodes interfering with one another do not transmit concurrently, we propose the concept of local signal map that allows nodes close-by to maintain the wireless path loss among themselves; together with the PRK model and transmission power control in protocol signaling, local signal maps enable nodes to precisely identify the interference relations among themselves despite anisotropic, asymmetric wireless communication and large interference range. To address the inherent delay in protocol signaling and to avoid interference between protocol signaling and data transmissions, PRKS uses a control channel for protocol signaling and a separate data channel for data transmissions in a TDMA fashion. With the above mechanisms, PRKS precisely identifies and then avoids interfering concurrent transmissions in scheduling; accordingly, PRKS eliminates the hidden terminal issue which has been a basic challenge in interference-oriented channel access control since 1975.