Abstract
Most mobile ad hoc wireless networks have social features. It is a fundamental problem how to understand the performances of social-aware mobile ad hoc wireless networks. In this paper, we consider a wireless network area, with restricted mobility model and rank-based social model. On this basis, we investigate the upper bound of throughput capacity in such networks using the protocol interference model. By tessellating the network area into cells spatially and dividing time into slots temporally, we propose a multi-hop relay and slots allocation scheduling strategy. Then, we derive the achieved throughput capacity under this strategy. Results show per-node throughput is related to parameter of social model and range of node motion. In addition, we also study the delay varies by queueing theory in such network. Finally, we discuss capacity-delay tradeoffs in such networks. These results are beneficial to the design of network protocols in large social-aware mobile ad hoc wireless networks.
Highlights
IntroductionThese devices are connected to the base station, massive amounts of data will be generated
There will be trillions of devices in 5G and beyond 5G networks [1,2]. These devices are connected to the base station, massive amounts of data will be generated. If these devices are maintained in a decentralized way, exchanging data over multi-hops, an ad hoc network is formed
A decentralized structure that all participating devices are responsible for exchange information by themselves, makes wireless ad hoc networks useful [3]
Summary
These devices are connected to the base station, massive amounts of data will be generated If these devices are maintained in a decentralized way, exchanging data over multi-hops (paths consisting of multiple devices), an ad hoc network is formed. There is no previously established network infrastructure in scenarios, such as emergency services and disaster recovery These characteristics make wireless ad hoc networks suitable for such applications where a centralized structure could be invalid. Wireless ad hoc networks have a better scalability in contrast to centralized networks They can be extended with more devices at any position in the network region.
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