In wireless sensor networks, an improved throughput capacity region can be achieved by equipping multiple channels. However, such approach inevitably brings the issue of solving the coupled channel assignment and scheduling problem. This paper put forward a low-complexity distributed channel assignment and scheduling policy for multichannel wireless sensor networks with single-hop traffic flows, named LDCS, as well as its multihop multipath extension. Under the proposed algorithms, random access and backoff time techniques are introduced to keep the complexity low and independent of the number of links and channels. Through theoretical analysis and simulation experiments, it is proved that the proposed algorithms are throughput guaranteed, and in some network scenarios, the achieved capacity region can be larger than that of other comparable distributed algorithms.
Due to the existence of channel difference, allocating network resources reasonably in multi-channel scenarios is much more complicated than that in single-channel cases. This paper designs a distributed channelassignment and scheduling algorithm for multi-channel multi-interface wireless networks, i.e., a resource allocation scheme in MAC layer. Via employing the random access technique and a tuple-based model, the proposed mechanism is proved to be able to guarantee a reliable throughput capacity region with complexity independent of the network size. On the other hand, the diversity of interfaces is further considered in addition to channel difference, which improves the adaptability of the developed algorithm.
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