Impact of radio irregularity on wireless sensor networks

By Gang Zhou, Tian He, Sudha Krishnamurthy, J. Stankovic. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2004

879 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/644f6aa1e98444ac3c653d0418b8789280bb1190

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Z-MAC: a hybrid MAC for wireless sensor networks (2005, background): “Fourth, it is difficult to ascertain the interference relation among neighboring nodes because radio interference ranges are different from communication ranges and some interfering nodes may not be in a direct communication range (this phenomenon is known as interference irregularity [6]).”
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events (2005, background): “to provide a more isotropic ground plane than the Mica family of motes [14] and reduce the “degree-of-irregularity” in the radiation pattern [15].”
Experimental evaluation of wireless simulation assumptions (2004, methodology): “Simple radio models fail to explore these critical realities that can dramatically affect performance and correctness [3, 2, 13].”
An RSSI-based scheme for sybil attack detection in wireless sensor networks (2006, background): “In contrast to simplistic representations of radio signal as isotropic, and communication range as uniform, [8] and [15] show that broadcast is non-isotropic in WSN.”
Real-time Power-Aware Routing in Sensor Networks (2006, methodology): “We implement the probabilistic link model from USC [17]”
An empirical study of low-power wireless (2010, background): “Link asymmetry is a well known phenomenon in wireless network studies [Ganesan et al. 2002a; Cerpa et al. 2003; Woo et al. 2003; Zhao and Govindan 2003; Zuniga and Krishnamachari 2007; Zhou et al. 2004].”
MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks (2006, background): “Currently, we do not consider radio irregularity and link asymmetry [36] [37] [38] [39], readers can refer to [40] [41] [42] for more information about reliability issues in broadcast.”
Temporal properties of low power wireless links: modeling and implications on multi-hop routing (2005, background): “studies with deployments in several environments using low-power RF radios [1, 2, 3, 4, 5].”
Energy-efficient surveillance system using wireless sensor networks (2004, background): “Communication in low power devices, such as the motes, is asymmetric [24] due to differences in hardware, signal attenuation, and residual battery capacity.”
Radio link quality estimation in wireless sensor networks (2012, background): “Authors’ addresses: N. Baccour (corresponding author), ReDCAD Research Unit, University of Sfax, Tunisia and CISTER, Polytechnic Institute of Porto (ISEP/IPP), Portugal; email: nabr@isep.ipp.pt; A. Koubâa, COINS Reserach Group, Al-Imam Mohamed bin Saud University, Saudi Arabia and CISTER Research…”
An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces (2006, background): “However, according to many researchers these assumptions do not hold and the basic simple propagation models alone do not reflect the complexity of real radio systems [44, 41, 20].”
ATPC: adaptive transmission power control for wireless sensor networks (2006, background): “There are a number of empirical studies on communication reality conducted with real sensor devices [43] [40] [44] [4] [29] [20].”
FireWxNet: a multi-tiered portable wireless system for monitoring weather conditions in wildland fire environments (2006, result): “These results are similar to other studies on radio irregularities[23].”
DEEJAM: Defeating Energy-Efficient Jamming in IEEE 802.15.4-based Wireless Networks (2007, methodology): “Since radio communication and jamming are inherently stochastic and difficult to model accurately [ 26 ], we evaluated DEEJAM on a real embedded platform, rather than in a PC-based simulator.”
Analyzing the transitional region in low power wireless links (2004, methodology): “Similarly, the authors of [ 7 ] report that such unreliable links can have a significant impact on routing protocols, particularly geographic forwarding schemes.”
Models and solutions for radio irregularity in wireless sensor networks (2006, methodology): “After our work was .rst accepted in MobiSys 2004 [Zhou et al. 2004], an upper layer model [Cerpa et al. 2005] was proposed to simulate link asymmetry in the link layer, without considering the wireless communication detail in the radio layer.”
A Survey of Fault Management in Wireless Sensor Networks (2007, neutral): “In addition to resource constraints, sensor networks are also failure-prone [1–4].”