title: Throughput assurance of wireless body area networks coexistence based on stochastic geometry.
abstract: Wireless body area networks (WBANs) are expected to influence the traditional medical model by assisting caretakers with health telemonitoring. Within WBANs, the transmit power of the nodes should be as small as possible owing to their limited energy capacity but should be sufficiently large to guarantee the quality of the signal at the receiving nodes. When multiple WBANs coexist in a small area, the communication reliability and overall throughput can be seriously affected due to resource competition and interference. We show that the total network throughput largely depends on the WBANs distribution density (λp), transmit power of their nodes (Pt), and their carrier-sensing threshold (γ). Using stochastic geometry, a joint carrier-sensing threshold and power control strategy is proposed to meet the demand of coexisting WBANs based on the IEEE 802.15.4 standard. Given different network distributions and carrier-sensing thresholds, the proposed strategy derives a minimum transmit power according to varying surrounding environment. We obtain expressions for transmission success probability and throughput adopting this strategy. Using numerical examples, we show that joint carrier-sensing thresholds and transmit power strategy can effectively improve the overall system throughput and reduce interference. Additionally, this paper studies the effects of a guard zone on the throughput using a Matern hard-core point process (HCPP) type II model. Theoretical analysis and simulation results show that the HCPP model can increase the success probability and throughput of networks.
authors.affiliation: College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 2666590, China.|Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan 250014, China.
authors.forename: Ruixia
authors.identifier: http://orcid.org/0000-0002-4044-5384
authors.initials: R
authors.lastname: Liu
authors.affiliation: Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan 250014, China.
authors.forename: Yinglong
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan 250014, China.
authors.forename: Minglei
authors.initials: M
authors.lastname: Shu
authors.affiliation: Electronic and Computer Engineering School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH144AS, United Kingdom.
authors.forename: Shangbin
authors.initials: S
authors.lastname: Wu
mesh_terms: D003195:Computer Communication Networks; D008962:Models, Theoretical; D011336:Probability; D013269:Stochastic Processes; D013686:Telemetry / Q000379:methods*; D059015:Wireless Technology