Acognitive radio sensor network (CRSN) is a solution that enables sensor nodes to opportunistically access licensed radio channels.\nData transmitted over a network are divided into packets. In machine-to-machinecommunication,which is a heterogeneous nature\nof wireless networks, small-size packets are the common form of traffic. Due to the nature of CRSNs, small data packets will not\nallow a balance between optimal performance of the network and fulfilling the secondary network obligations towards the primary\nnetwork in terms of interference. Either interference or channelâ??s underutilization would result from employing data packets of\ninadequate size. In this paper, the appropriate packet size for adaptive CRSN is investigated by examining the performances of\nsmall, medium, and large packet size. In contrast to the trends of exploiting small packets of sizes up to 128 bytes, this study\ndemonstrates thatmedium-size packets aremore appropriate to yield the best performance in CRSNs. Simulation results show that\npackets of size 375 bytes outperform smaller and larger packets inmany CRSN protocols. The induced delay that is partially caused\nby interference is decreased at the same time the channels are efficiently utilized.
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