Distributed Transmission Power Control Research Articles

Distributed Transmit Power Control for Energy-Efficient Wireless-Powered Secure Communications.

In this study, we consider energy-efficient wireless-powered secure communications, in which N sets of transmitter, receiver, and energy harvesting (EH) nodes exist; each EH node is allowed only to harvest energy from the transmitted signals but is not to permitted to decode information. To maximize the sum secrecy energy efficiency (SEE) of the node sets while ensuring minimum EH requirement for each EH node, we propose a distributed transmit power control algorithm using a dual method, where each transmitter adjusts its transmit power iteratively until convergence without sharing information with the other node sets. Through simulations under various environments, we show that the proposed scheme surpasses conventional schemes in terms of the sum SEE and has significantly reduced computation time compared with the optimal scheme, which suggests the effectiveness and applicability of the proposed distributed method.

Concurrent transmission scheduling algorithm based on Stackelberg game to enhance time reuse for D2D communications in mmWave networks

Due to the tremendous propagation loss of millimeter wave (mmWave) communication, device-to-device (D2D) communications are widely used over directional mmWave networks to improve network throughput. Most of existing works are mainly focused on concurrent transmission among D2D pairs that have no mutual interference. However, considering the propagation loss and directional interference features, the D2D pairs that interfere with each other can be used to improve network throughput. In this paper, we propose a time resource sharing scheme based on Stackelberg game for D2D pairs to further enhance network throughput. The interference D2D pairs can access to the time resource through paying the price for the interference caused by them. At the same time, the non-interference D2D pairs can be scheduled. Concurrent transmission scheduling among interference D2D pairs is formulated as a non-cooperative game, which enables a distributed transmission power control for interference D2D pairs. Moreover, the price strategy can be adjusted by setting interference threshold such that the transmission quality can be guaranteed. Simulation results show that the proposed scheme can achieve significant performance gains compared with classical concurrent transmission in terms of network throughput and energy efficiency. In addition, the convergence and utility of the game are also verified.

Distributed transmission power control for communication congestion control and awareness enhancement in VANETs.

The vehicular ad hoc network (VANET) has been identified as one of the most promising technologies for managing future intelligent transportation systems. This paper proposes a distributed transmission power adjustment algorithm for communication congestion control and awareness enhancement to address communication congestion problems that can arise in VANETs. The objective of the proposed algorithm is to provide maximum awareness of surrounding vehicles’ status while maintaining a communications channel load below the allowed threshold. The proposed algorithm accomplishes this by adjusting the transmission range of each vehicle in the network progressively and gradually, while monitoring the communications channel load of each vehicle. By changing the transmission range of a vehicle little by little according to the communications channel load of its neighboring vehicles, the algorithm finds the optimal transmission range that provides maximum awareness without resulting in communications congestion. In addition, the proposed algorithm appropriately controls the channel load in a fair manner without sacrificing awareness of specific vehicles in the congested situation. This allows nearby vehicles to obtain more peripheral information to help them stay away from potential hazards and maintain safety. The proposed algorithm was implemented in a simulation environment, and its performance was validated in various traffic scenarios. The simulation results show that the proposed algorithm can deal with communication congestion by controlling the transmission power fairly to a target threshold in various traffic situations.

Adaptive Control of IoT Wireless Networks in Shadowed Fading Channels

In this paper, a distributed transmission power control (TPC) scheme that jointly addresses the hidden and exposed terminal problem to enhance the spatial reuse and fairness performance of multi-hop wireless networks is proposed. Unlike other previous transmission power control schemes where the two-ray ground reflection (TRG) model is adopted, the proposed scheme is designed based on a log-normal shadowing (LNS) channel model. In addition, transmission power selection strategies to further compensate the influences of shadowing are presented. Results demonstrate that the proposed scheme outperforms the other TPC schemes in terms of spatial reuse and power consumption, resulting in an improved throughput and energy efficiency.

The effects of an Adaptive and Distributed Transmission Power Control on the performance of energy harvesting sensor networks

The design of routing protocols for wireless sensor networks (WSNs) has been traditionally tackled by assuming battery-powered sensors, in which minimizing the power consumption was the main objective. Advances in technology and the ability to harvest energy from the environment has enabled self-sustaining systems and thus diminish the significance of network lifetime considerations in the design of WSNs. Although WSNs operated by energy-harvesting sensors are not limited by network lifetime, they still pose new design challenges due to the unstable and uncertain amount of energy that can be harvested from the environment. In this paper, we propose a new protocol for energy-harvesting sensor networks that uses adaptive transmission power to maintain the network connectivity, and distributes the traffic load on the network. Based on local information, each node dynamically adjusts its transmission power in order to maximize the network’s end-to-end performance. The simulation results indicate that the proposed protocol keeps the network connected at most of the times by using an efficient power management, outperforming greedy forwarding and dynamic duty cycle protocols in terms of packet delivery ratio, delay, and power management.

Bio-Inspired Distributed Transmission Power Control Considering QoS Fairness in Wireless Body Area Sensor Networks.

Recently, the development of wireless body area sensor network (WBASN) has accelerated due to the rapid development of wireless technology. In the WBASN environment, many WBASNs coexist where communication ranges overlap with each other, resulting in the possibility of interference. Although nodes in a WBASN typically operate at a low power level, to avoid adversely affecting the human body, high transmission rates may be required to support some applications. In addition to this, since many varieties of applications exist in the WBASN environment, each prospective user may have different quality of service (QoS) requirements. Hence, the following issues should be considered in the WBASN environment: (1) interference between adjacent WBASNs, which influences the performance of a specific system, and (2) the degree of satisfaction on the QoS of each user, i.e., the required QoS such as user throughput should be considered to ensure that all users in the network are provided with a fair QoS satisfaction. Thus, in this paper, we propose a transmission power adjustment algorithm that addresses interference problems and guarantees QoS fairness between users. First, we use a new utility function to measure the degree of the satisfaction on the QoS for each user. Then, the transmission power of each sensor node is calculated using the Cucker–Smale model, and the QoS satisfaction of each user is synchronized dispersively. The results of simulations show that the proposed algorithm performs better than existing algorithms, with respect to QoS fairness and energy efficiency.

A Power Control Algorithm Based on SNR for Ad Hoc Networks

As for Ad Hoc networks is a method which using power control technology to improve the network energy consumption, with the situation of effectively reduce energy consumption but seriously decline of network throughput on the basis of power control algorithm. This paper presents a kind of distributed transmission power control MAC protocol (DTPMP) based on signal to noise ratio (SNR). The simulation results showed that mate lower node energy consumption in the first mate, while maintaining higher throughput performance of the network.

A New Method for Prolonging Network Lifetime and Maintaining the Connectivity in Wireless Sensor Network Through Controlling the Transmission Power

Energy preservation constitutes a very critical challenge in wireless sensor network surveillance applications. On one hand, transmitting data by using additional transmission power is among the biggest sources of energy consumption. On the other hand, using a small transmission power degrades the connectivity between nodes. In this paper, a Distributed transmission Power Control Method (DPCM) to minimize the consumed energy is proposed. Moreover, it aims to keep a good connectivity between nodes. These purposes are accomplished by adjusting, dynamically, the transmission power taking into account the connectivity information of the neighbors at one and two-hop. Simulation experiences are carried out to measure the performance improvements of the presented method in both static and mobile networks by using Castalia simulator. According to the obtained results, the authors' method minimizes the consumed energy without penalizing the connectivity between nodes compared to DPCS and farthest neighbor methods. In addition, DPCM achieves good performances in spite of node mobility.

매크로셀 사용자 보호를 위한 펨토셀 기지국의 전송전력 제어

본 논문에서는 펨토셀을 채택한 셀룰러 통신망에서 매크로셀 사용자를 보호하기 위한 새로운 분산식 펨토셀 전송전력 제어 기법을 제안한다. 제안된 기법에서, 인근의 펨토셀로부터 심한 간섭을 받는 매크로셀 사용자는 그 사실을 매크로셀 기지국을 통해 해당 펨토셀 기지국에게 알린다. 펨토셀 기지국은 전송전력을 감소시켜 매크로셀 사용자를 보호한다. 제안된 기법은 매크로셀 기지국, 매크로셀 사용자 및 펨토셀 기지국 간에 교환해야 할 제어 정보가 많지 않고, 펨토셀 기지국의 계산량이 적어서 구현이 용이한 장점을 가진다. 시뮬레이션 결과에 따르면, 제안된 기법은 그 단순함에도 불구하고 최소한의 펨토셀 사용자의 성능 열화를 대가로 탁월한 매크로셀 성능 향상을 달성한다. In the cellular networks adopting femtocells, the macrocell users can suffer from severe interference by the femtocells. In this paper, we propose a distributed transmission power control scheme for femtocells to protect macrocell users. With the proposed scheme, when a macrocell user experiences outage due to severe interference, it informs the interfering femtocell base station (BS) of the outage occurrence, via the macrocell BS. Then, the femtocell BS reduces the transmission power to protect the macrocell user. The proposed scheme does not require too much control information among the macrocell BS, the macrocell users, and the femtocell BS. Moreover, the computational complexity in femtocell BS is very low. By using simulation, we show that the performance of the proposed scheme is good enough to use in practice, in spite of its simplicity.

Foreword by Guest Editors for the Special Issue on the 2012 ICUFN Conference

Welcome to this special issue of Wireless Personal Communications, which has taken the important role to keep up with the new technology evolution and enhancement in theoretical, engineering, and experimental aspects of radio communications, voice, data, images, and multimedia. This special issue constitutes a selection of best papers from the 2012 ICUFN (International Conference on Ubiquitous Future Networks) Conference. All these papers have been extended and reviewed again by 3 independent reviewers. ICUFN is an annual international conference (www.icufn.org) co-sponsored by IEEE Communications Society and organized by the KICS (Korean Information Communications Society). The first paper is entitled “Software-based Management for Ethernet Networks“. It presents a solution for this use case to integrate quality of service futures for the communication by a middleware based approach. The proposed mechanism in this paper discusses possible design improvements of this solution and presents the recent Ethernet standards that could help to solve this problem in an alternative way. The second paper entitled “Distributed Transmit Power Control for Maximizing Endto-End Throughput in Wireless Multi-hop Networks”. In a multi-hop link, the end-to-end throughput between a source and destination is restricted by the lowest link rate, so the maxmin fair allocation on the link rates is an optimal strategy to maximize. This paper proposes a transmit power control (TPC) algorithm that decides the transmit power of multi-hop nodes to equalize all link rates. The third paper entitled “An Architecture for Service Quality Management Using Cooperative Communications” proposes an architecture for application quality management and a detailed mechanism to maintain the desired multimedia application quality using the coop-

Distributed Transmit Power Control for Maximizing End-to-End Throughput in Wireless Multi-hop Networks

Wireless multi-hop networks have a solidarity property, in which each multi-hop link interferes mutually and so an increase in one link's rate results in a decrease of the other links' rate. In a multi-hop link, the end-to-end throughput between a source and destination is restricted by the lowest link rate, so the max-min fair allocation on the link rates is an optimal strategy to maximize the end-to-end throughput. In this paper, we verify that if the wireless links have a solidarity property, the max-min fair allocation has all link rates equal, so we propose a transmit power control (TPC) algorithm that decides the transmit power of multi-hop nodes to equalize all link rates. The proposed algorithm operates in a distributed manner, where each node averages the recognized link rates around itself, allocates its transmit power to achieve this average rate, and iterates this operation until all link rates become equal. Intensive simulation shows that the proposed TPC algorithm enables all link rates to converge on the same value, and thus maximizes the multi-hop end-to-end throughput while decreasing the power consumption of multi-hop nodes.

Distributed Transmission Power Control for Network Programming in Wireless Sensor Networks

In wireless sensor networks, the necessity of network programming becomes more and more important due to the inaccessibility of the sensor nodes. Because the network programming produces a large amount of data, it consumes a great deal of energy and causes the network to suffer from much interference. Many conventional studies regarding the network programming attempted to reduce the energy consumption and the interference effect. However, they overlook transmission power effect on the energy-efficiency and the interference problem. In this paper, we present a novel network programming protocol that controls the transmission power at each sender node in a distributed manner. The protocol deals not only with the energy consumption of individual sensor node but also the network load distribution. Moreover, it reduces the interference effect on the network by decreasing the average transmission power of the sensor nodes. We verify that our protocol extends the lifetime of the sensor network and decreases the packet losses through simulation results.

Distributed power control over multiple channels for ad hoc wireless networks

In this paper, we investigate the deficiency of uncontrolled asymmetrical transmission power over multiple channels in ad hoc environments. We further propose a novel distributed transmission power control protocol called the distributed power level DPL protocol for multi-channel ad hoc networks without requiring clock synchronization. Specifically, different transmission power levels are assigned to different channels, and nodes search for an idle channel on the basis of the received power so that the maximum allowable power of the preferred data channel is larger than or equal to the received power. If the most preferred channel of the least maximum power is busy, the nodes are able to select the next channel and so forth. As a result, interference is reduced over channels because the nodes that require higher transmission power are separated from interfering with the nodes that require lower transmission power. Two transmission power control modes are introduced for DPL: symmetrical and asymmetrical. For the symmetrical DPL protocol mode, nodes transmit at the same power level assigned to the selected channel. On the other hand, for the asymmetrical DPL protocol, nodes are allowed to transmit at a lower or equal power level that is assigned to the selected channel. Extensive ns-2-based simulation results are presented to demonstrate that the proposed protocols can enhance the network throughput compared with the existing uncontrolled asymmetrical transmission power protocol. Copyright © 2012 John Wiley & Sons, Ltd.

Distributed Transmit Power Control for Optimal End-to-End Throughput in Wireless Multihop Networks

In this paper, we propose a distributed transmit power control algorithm for optimal end-to-end throughput in wireless multihop networks. Considering a solidarity property of link rates consisting of a multihop link and the fact that the multihop end-to-end throughput is determined by the minimum link rate, the proposed scheme controls the transmit power to make all link rates be equal and so maximizes the end-to-end throughput of multihop link. In addition, in the proposed scheme the transmit node calculates its transmit power autonomously in a distributed manner just through the information sharing with its neighbor nodes and so decreases the information sharing overhead. Simulation results show that the proposed scheme achieves significant improvements in terms of end-to-end throughput and power consumption compared with the conventional maximum equal power allocation scheme.

Distributed Transmit Power Control for Optimal End-to-End Throughput in Wireless Multihop Networks

Distributed Transmit Power Control for Optimal End-to-End Throughput in Wireless Multihop Networks

유비쿼터스 센서 망에서의 에너지 절약형 매체접근 제어 프로토콜

응용분야를 계속 확장해가고 있는 무선 센서네트워크에서 매체접근제어 (MAC)에 관한 연구는 주로 에너지 효율을 높이는데 집중되어왔으며 전송지연(Latency)에 관한 연구는 상대적으로 적다. 그러나 센서 네트워크의 특성상 다중 홉(multi-hop) 전송이 빈번하게 일어나는 환경에서 종단 간 전송지연은 특히 시간 종속적인 응용분야에서는 중요한 성능상 제약이 될 수 있다. 본 논문에서는 분산적인 전송전력제어방식을 이용하여 다중 링크를 동시에 개설할 수 있도록 함으로써 센서네트워크의 전송 전력을 줄임과 동시에 네트워크의 공간 활용도를 향상시키고 전송지연시간을 개선 할 수 있는 매체접근제어(MAC) 방식을 제안하였다. 시뮬레이션을 통한 성능 검증 결과 제안하는 방식인 TPCS-MAC은 센서노드의 전력소모를 줄임과 동시에 특히 다중 홉(multi-hop) 센서네트워크에서 발생하는 종단 간 지연 (end-to-end latency) 문제를 개선하는 것으로 판명되었다. Research on media access control (MAC) scheme for Wireless Sensor Network (WSN) has been mainly focused on energy efficiency improvement, while interest on latency is relatively weak. However, end-to-end latency could be a critical limitation specifically in the multi-hop network such as wireless multimedia sensor networks. In this paper we propose a media access control scheme with distributed transmission power control to Improve end-to-end transmission latency as well as reduce power consumption in multi-hop wireless sensor networks. According to the simulation results, the proposed scheme is turned out to be an energy efficient scheme with improved end-to-end transmission latency.

Cross-layer design for tree-type routing and level-based centralised scheduling in IEEE 802.16 based wireless mesh networks

Infrastructure wireless mesh network, also named as mesh router, is one key topology for the next generation wireless networking. In this work, the performance optimisation for the infrastructure wireless mesh network is presented and the sub-optimum solution mechanism is investigated. A cross-layer design for tree-type routing, level-based centralised scheduling and distributed power control theme is proposed as the sub-optimum solution strategy. The cross-layer design relies on the channel information and the distributed transmission power control in the physical layer, and the wireless scheduling in the medium access control (MAC) layer, as well as the routing selection mechanism in the MAC upper layer. In this work, a modified distributed power control algorithm is proposed first. In addition, a tree-type routing construction algorithm for centralised scheduling is presented to improve the network throughput by jointly considering interference and hop-count to construct the routing tree. Simulation results show that the proposed cross-layer design strategy can effectively improve the network throughput performance, decrease the power consumption and achieve better performances.

A distributed transmission power control protocol for mobile ad hoc networks

In this paper, we propose a comprehensive solution for power control in mobile ad hoc networks (MANETs). Our solution emphasizes the interplay between the MAC and network layers, whereby the MAC layer indirectly influences the selection of the next-hop by properly adjusting the power of route request packets. This is done while maintaining network connectivity. Channel-gain information obtained mainly from overheard RTS and CTS packets is used to dynamically construct the network topology. Unlike the IEEE 802.11 approach and previously proposed schemes, ours does not use the RTS/CTS packets to silence the neighboring nodes. Instead, collision avoidance information is inserted in the CTS packets and sent over an out-of-band control channel. This information is used to dynamically bound the transmission power of potentially interfering nodes in the vicinity of a receiver. By properly estimating the required transmission power for data packets, our protocol allows for interference-limited simultaneous transmissions to take place in the neighborhood of a receiving node. Simulation results indicate that, compared to the IEEE 802.11 approach, the proposed protocol achieves a significant increase in the channel utilization and end-to-end network throughput and a significant decrease in the total energy consumption.