Offloading Channel Allocation to Terminals in High-Density IoTs for Next Generation Networks

Abstract

Machine-to-Machine (M2M) communications in high-density Internet of Things (IoTs) pose significant challenges in accessing the wireless channel for concurrent transmissions. In this scenario, the channel allocation plays a crucial role, which usually involves a centralized coordination (such as a base station). With the increasing number of edge terminals as well as the dynamic network environment, the computation and information exchange for the centralized channel allocation would be a big burden for the coordination. In this paper, we tackle this challenging problem by proposing a distributed channel allocation method with blind rendezvous to enable collision-free concurrent transmission over multiple channels. Specifically, we first present a receiver-oriented channel allocation algorithm to reduce interference and then focus on a receiver-wait sender-jump blind channel rendezvous algorithm based on channel hopping techniques. The proposed channel allocation method allows each sender-receiver pair to obtain an appropriate channel for transmission without interfering other pairs, in a distributed manner. This study may help network researchers to contribute in the development of next generation high-density IoTs.