Conference Paper

Experimental Study of the Effects of Tx Power Control and Blacklisting in Wireless Sensor Networks

Dept. of Electr. Eng.-Systems, Southern California Univ., Los Angeles, CA, USA
DOI: 10.1109/SAHCN.2004.1381929 Conference: Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004. 2004 First Annual IEEE Communications Society Conference on
Source: IEEE Xplore


We experimentally investigate the impact of variable transmission power on link quality, and propose variable power link quality control techniques to enhance the performance of data delivery in wireless sensor networks. This study extends the state of the art in two key respects: first, while there are a number of previous results on power control techniques for wireless ad hoc and sensor networks, to our knowledge, nearly all of them have been simulated and analytically studied that assumes the idealized link conditions; second, while there are several recent experimental studies that have shown the prevalence of non-ideal unreliable communication links in sensor networks, the paper has not thoroughly investigated the impact of variable transmission power. We perform a systematic set of experiments to analyze how the transmission power changes affect the quality of low power RF wireless links between nodes. These experiments show how significant variation in link qualities occur in real-world deployments and how these effects strongly influence the effectiveness of transmission power control. We then present a packet-based transmission power control mechanism that incorporates blacklisting to enhance link reliability while minimizing interference. The effectiveness of the proposed scheme is demonstrated via test bed experiments.

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    • "The main competitors in the practical Topology control area are PCBL [36] and ART [39, which we introduce next. PCBL was derived from link quality observations showing that links with a very high PRR remain quite stable. "
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    ABSTRACT: Transmission power has a major impact on link and communication reliability and network lifetime in Wireless Sensor Networks. We study power control in a multi-hop Wireless Sensor Network where nodes' communication interfere with each other. Our objective is to determine each node's transmission power level that will reduce the communication interference and keep energy consumption to a minimum. We propose a potential game approach to obtain the unique equilibrium of the network transmission power allocation. The unique equilibrium is located in a continuous domain. However, radio transceivers accept only discrete values for transmission power level setting. We study the viability and performance of mapping the continuous solution from the potential game to the discrete domain required by the radio. We demonstrate the success of our approach through TOSSIM simulation when nodes use the Collection Tree Protocol for routing the data. Also, we show results of our method from the Indriya testbed. We compare it with the case where the motes use Collection Tree Protocol with the maximum transmission power.
    Preview · Article · Nov 2015 · International Journal of Computer Networks and Communications
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    • "Under such circumstances parameters such as RSSI or PRR do not give a good indication of whether link quality is poor or more importantly why it is poor (both power transmission and interference can be the cause). For example, if we assume that interference does not exist, higher RSSI reading generally translates into a higher PRR [1]. However, as interference increases, a higher RSSI may not result in a higher PRR, as the increased RSSI may be due to other nodes that are transmitting simultaneously and are within the range of the receiver. "
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    ABSTRACT: This paper addresses first the problem of max-min fair (MMF) link transmissions in wireless sensor networks (WSNs) and in a second stage studies the joint link scheduling and transmission power assignment problem. Given a set of concurrently transmitting links, the MMF link transmission problem looks for transmission powers of nodes such that the signal-to-interference and noise ratio (SINR) values of active links satisfy max-min fairness property. By guaranteeing a “fair” transmission medium (in terms of SINR), other network requirements may be directly affected, such as the schedule length, the throughput (number of concurrent links in a time slot), and energy savings. Hence, the whole problem seeks to find a feasible schedule and a power assignment scheme such that the schedule length is minimized and the concurrent transmissions have a fair quality in terms of SINR. The focus of this study falls on the transmission power control strategy, which ensures that every node that is transmitting in the network chooses a transmission power that will minimally affect the other concurrent transmissions and, even more, achieves MMF SINR values of concurrent link transmissions. We show that this strategy may have an impact on reducing the network time schedule.
    Full-text · Article · Jun 2014 · Journal of Applied Mathematics
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    • "It has the advantage that the received power is stable. Various SBS methods such as TPC with blacklisting [2] and interference-aware TPC [3] have been studied. TPC with blacklisting uses a constant number of transmission power levels (13 levels) on the basis of the reference packet reception rate (PRR), which regulates the maximum accuracy for power tuning. "
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    ABSTRACT: An effective transmission power control (TPC) method is proposed and demonstrated, in which an appropriate active margin is directly applied rather than a step-by-step margin as in the conventional TPC method. Active-margin transmission power control (AM-TPC) is based on an algorithm that selects an optimized transmission power by considering the channel conditions in mobile environments. For obtaining the optimal transmission power, effective minimum detectable signal (EMDS) has been introduced which considers the change both in the channel noise and in the path loss (PL) dispersion caused by multipath fading. The transmission power is determined by the EMDS and active margin to improve the efficiency of the communication. The AM-TPC improves the reliability and reduces the power consumption, because it prevents unnecessary retransmission by reducing the number of error packets. By using the AM-TPC in mobile environments, we have experimentally obtained 28.3% reduction in current consumption when compared with using maximum power transmission.
    Full-text · Article · May 2014 · International Journal of Distributed Sensor Networks
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