Noncooperative distributed MMSE relay schemes under jamming environment and node geometry in wireless relay networks

Lee, Kanghee; Kwon, Hyuck M.; Ding, Yanwu; Ibdah, Yazan; Wang, Zuojun

doi:10.1109/wts.2011.5960882

Cited by 20 publications

(5 citation statements)

References 7 publications

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“…Sometimes, nodes act in a non‐cooperative manner by not transmitting data packets sent by others. This type of selfish behavior and different solutions are reported in the existing literature . Abid et al .…”

Section: Related Workmentioning

confidence: 80%

D3: distributed approach for the detection of dumb nodes in wireless sensor networks

Roy

Kar

Misra

et al. 2015

Int J Communication

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SUMMARYIn this work, we propose D3-a distributed approach for the detection of 'dumb' nodes in a wireless sensor network (WSN). A dumb node can sense its surroundings, but is unable to transmit these sensed data to any other node, due to the sudden onset of adverse environmental effects. However, such a node resumes its normal operations with the resumption of favorable environmental conditions. Due to the presence of dumb nodes, the network is unable to provide the expected services. Therefore, it is prudent to re-establish connectivity between dumb and other nodes, so that sensed data can be reliably transmitted to the sink. Before the re-establishment of connectivity, a node needs to confirm its actual state of being dumb. Dumb behavior is dynamic in nature, and is, thus, distinct from the traditional node isolation problem considered in stationary WSNs. Therefore, the existing schemes for the detection of other misbehaviors are not applicable for detecting a dumb node in a WSN. Considering this temporal behavior of a dumb node, we propose an approach, D3, for the detection of dumb nodes. In the propose scheme, we uses cumulative sum test, which helps in detecting the dumb behavior. The simulation results show that there is 56% degradation in detection percentage with the increment in the detection threshold, whereas energy consumption and the message overhead increase by 40% with the increment in detection threshold.

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Section: Related Workmentioning

confidence: 80%

D3: distributed approach for the detection of dumb nodes in wireless sensor networks

Roy

Kar

Misra

et al. 2015

Int J Communication

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“…For instance, in [24,25], the authors focus on the attacker's strategy. In the former paper, the authors optimize the best relay amplification matrix of WSNs and concluded that the network performance is influenced by the geometric shape of the nodes.…”

Section: Jamming Attacks In Wsnsmentioning

confidence: 99%

Multi-Agent Modeling and Jamming-Aware Routing Protocols for Movable-Jammer-Affected WSNs

Zhang

2023

Sensors

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Wireless sensor networks (WSNs) are widely used in various fields, and the reliability and performance of WSNs are critical for their applications. However, WSNs are vulnerable to jamming attacks, and the impact of movable jammers on WSNs’ reliability and performance remains largely unexplored. This study aims to investigate the impact of movable jammers on WSNs and propose a comprehensive approach for modeling jammer-affected WSNs, comprising four parts. Firstly, agent-based modeling of sensor nodes, base stations, and jammers has been proposed. Secondly, a jamming-aware routing protocol (JRP) has been proposed to enable sensor nodes to weigh depth and jamming values when selecting relay nodes, thereby bypassing areas affected by jamming. The third and fourth parts involve simulation processes and parameter design for simulations. The simulation results show that the mobility of the jammer significantly affects WSNs’ reliability and performance, and JRP effectively bypasses jammed areas and maintains network connectivity. Furthermore, the number and deployment location of jammers has a significant impact on WSNs’ reliability and performance. These findings provide insights into the design of reliable and efficient WSNs under jamming attacks.

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“…Noncooperative distributed minimum mean square error (MMSE)-based AF relay schemes under both jamming environment and node geometry in wireless networks with/without power constraint for single-input single-output with relay nodes was studied in [7], [8], respectively. BNJ and channel uncertainty for noncooperative wireless relay networks under the received power constraint was also studied in [9].…”

Section: Introductionmentioning

confidence: 99%

Amplifying Matrix Design for Distributed Noncooperative SIMO Wireless Relay Networks under Jamming Environment

Wang

Kwon

Ding

et al. 2011

2011 Fifth Asia Modelling Symposium

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The main contribution of this paper is the derivation of an optimal diagonal amplifying relay matrix. This matrix is for a noncooperative distributed wireless relay network in a jamming environment. Minimum mean square error (MMSE) criterion was used in this study. Jamming location was also studied in this paper. Results show that diversity of a system can be degraded or even get lost depending on jamming location. A single-input multiple-output (SIMO) system strategy was implemented, using one-source, M-destination and N-relay nodes. System performance for the new derived matrix was evaluated using bit error rate (BER). Also, performance comparisons with/without jamming were a focus in our study.Index Terms-Broadband jamming, amplify-and-forward, minimum mean square error, single-input multiple-output.

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Noncooperative distributed MMSE relay schemes under jamming environment and node geometry in wireless relay networks

Cited by 20 publications

References 7 publications

D3: distributed approach for the detection of dumb nodes in wireless sensor networks

D3: distributed approach for the detection of dumb nodes in wireless sensor networks

Multi-Agent Modeling and Jamming-Aware Routing Protocols for Movable-Jammer-Affected WSNs

Amplifying Matrix Design for Distributed Noncooperative SIMO Wireless Relay Networks under Jamming Environment

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