Throughput per Pass for Data Aggregation from a Wireless Sensor Network via a UAV

Kim

2017

J Wireless Com Network

In a large-scale group communication networks, we propose a slotted-Aloha-based access control (SA-AC) scheme with the optimal transmission probability (TP) using the stochastic geometry. Since the performance of SA-AC scheme depends on the TP of the members in a group, the analytical model presents a joint view for the downlink (DL) and the uplink (UL) with TP of the members in a group. We present simple and closed form expressions for the DL and UL joint probability by using Poisson point process (PPP). Furthermore, we analyze the dynamic TP and the optimal TP to maximize the DL/UL joint probability, for which the inclusion of a member and the transmission of the member is determined by the DL and UL thresholds. Since the requirement of the DL/UL joint probability varies with the type of services, the optimal TP has to be determined for an efficient group communication service. The performance of the SA-AC scheme with the optimal TP is demonstrated, and it is shown to be superior over the other schemes.

“…The average number of the covered members can be known by using the number of associated members. Since the number of the covered members within the distance r tar is π(r tar ) 2 …”

Section: Proofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A spatial slotted-Aloha protocol in wireless networks for group communications

Kim

2017

J Wireless Com Network

IEICE Trans. Inf. & Syst.

“…Giorgetti et al focus on data retrieval from a sensor field by using a UAV [8]. By using a UAV to collect data form sensors, a large area can be covered and the data collection can be more flexible due to the mobility of UAV.…”

Section: Global-scaled Internet Of Thingsmentioning

confidence: 99%

Internet of Things (IoT): Present State and Future Prospects

Kawamoto

Nishiyama

Kato

et al. 2014

SUMMARYThe recent development of communication devices and wireless network technologies continues to advance the new era of the Internet and telecommunications. The various "things", which include not only communication devices but also every other physical object on the planet, are also going to be connected to the Internet, and controlled through wireless networks. This concept, which is referred to as the "Internet of Things (IoT)", has attracted much attention from many researchers in recent years. The concept of IoT can be associated with multiple research areas such as body area networks, Device-to-Device (D2D) communications networks, home area networks, Unmanned Aerial Vehicle (UAV) networks, satellite networks, and so forth. Also, there are various kinds of applications created by using IoT technologies. Thus, the concept of the IoT is expected to be integrated into our society and support our daily life in the near future. In this paper, we introduce different classifications of IoT with examples of utilizing IoT technologies. In addition, as an example of a practical system using IoT, a tsunami detection system (which is composed of a satellite, sensor terminals, and an active monitoring system for real-time simultaneous utilization of the devices) is introduced. Furthermore, the requirements of the next generation systems with the IoT are delineated in the paper.

“…Based on Theorem 1, the relay can adaptively allocate resources to meet the required performance. For example, as in [33], if some users (e.g. J − 1) have the same message to transmit, the relay can allocate the corresponding proportion of resources to this message, therefore J − 1 independent copies of the same data can be received by the destinations, and a full diversity order of J − 1 can be achieved.…”

Section: Proofmentioning

confidence: 99%

Multiple‐source multiple‐destinations relay channels with network coding

et al. 2013

The essential broadcasting feature of radio propagation channels provides an opportunity for multiple nodes to exchange information and work cooperatively, where each node, e.g. mobile sensor or robot, plays both the role of transmitter and receiver. Especially in such machine-to-machine communication scenarios, the network performance and redundancy of information from different providers highly affect the work efficiency of each individual node and the whole system. To address these problems, a relay assisted centralized network model with physical layer network coding implemented in the relay is proposed in this paper. This structure has the advantage of flexible data exchange and the capability to reduce redundancy in information. Its theoretical performance is analyzed by the Diversity Multiplexing Tradeoff (DMT), which proves the proposed model is versatile in reliable and high spectral-efficiency information exchange. Experiments of multiple nodes in a machine-to-machine scenario -Unmanned Aerial Vehicles (UAVs), further reveal its potential in improving efficiency of communication and cooperation.