Collision-aware distributed estimation in WSNs using sensor-censoring random access

Laitrakun, Seksan; Coyle, Eugene

doi:10.1109/milcom.2015.7357582

Cited by 3 publications

(7 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, we can derive and prove some meaningful properties. We would like to note that Proposition 1 and Corollary 1 have been shown in [36,37].…”

Section: Collision-aware Distributed Detection: Estimate-then-fuse Ap...mentioning

confidence: 70%

“…Transmission protocols based on population-splitting algorithms for distributed detection/estimation have been studied in [29,36,37], where the sensor nodes will share a collision channel to send their decisions. By using these protocols, the observation range is divided into M levels and the collect time is divided into M frames.…”

Section: Related Workmentioning

confidence: 99%

“…The FC observes the time-slot states to make a final decision or compute an estimate. The transmission protocol proposed in this paper is different from those in [29,36,37] as follows. Here, we apply the sensor-censoring strategy to a population-splitting algorithm, where the observation range is divided into censored regions (unreliable observations) and uncensored regions (reliable observations).…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we consider that the FC compute a final decision based on the estimatethen-fuse approach [29,36,37] as shown in Fig. 5a, which consists of two stages: a population estimator of the node numbers and a population-based fusion rule.…”

Section: Collision-aware Distributed Detection: Estimate-then-fuse Ap...mentioning

confidence: 99%

“…m , where a ∼ denotes "asymptotically distributed according to" and, for a large n m and n m ≫ K, Proof An outline of the proof has been shown in [36,37]. The full derivation is shown in Appendix A.…”

Section: Collision-aware Distributed Detection: Estimate-then-fuse Ap...mentioning

confidence: 99%

See 4 more Smart Citations

Collision-aware distributed detection with population-splitting algorithms

Laitrakun

2021

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

We consider the design of distributed detection algorithms for single-hop, single-channel wireless sensor networks in which sensor nodes send their local decisions to a fusion center (FC) by using a random access protocol. There is also limited time to collect local decisions before a final decision must be made. We thus propose and analyze a modified random access protocol in which the FC combines slotted ALOHA with a population-splitting algorithm called population-splitting-based random access (PSRA) and collision-aware distributed detection according to an estimate-then-fuse approach. Under the PSRA, only sensor nodes whose observations fall in a particular range of reliability will send their decisions in a specific frame by using slotted ALOHA. At the end of the collection time, the FC applies the collision-aware distributed detection to make a final decision. Here, the FC will first observe the state of each time slot—idle, successful, collision—in each frame, use this information to estimate the number of sensor nodes participating in each frame, and, then, compute a final decision using a population-based fusion rule. An approximation of the optimal transmission probability of the slotted ALOHA is determined to minimize the probability of error. Numerical results show that, unlike slotted-ALOHA-based data networks, the transmission probability maximizing the number of successful time slots does not optimize the performance of the proposed distributed detection. Instead, the proposed distributed detection performs best with a transmission probability that induces many collisions.

show abstract

“…Therefore, we can derive and prove some meaningful properties. We would like to note that Proposition 1 and Corollary 1 have been shown in [36,37].…”

Section: Collision-aware Distributed Detection: Estimate-then-fuse Ap...mentioning

confidence: 70%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Collision-aware Distributed Detection: Estimate-then-fuse Ap...mentioning

confidence: 99%

Section: Collision-aware Distributed Detection: Estimate-then-fuse Ap...mentioning

confidence: 99%

See 3 more Smart Citations

Collision-aware distributed detection with population-splitting algorithms

Laitrakun

2021

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

show abstract

Military Operations: Wireless Sensor Networks based Applications to Reinforce Future Battlefield Command System

Ali

Jadoon

Changazi

et al. 2020

2020 IEEE 23rd International Multitopic Conference (INMIC)

View full text Add to dashboard Cite

Heterogeneous Wireless Sensor Networks Enabled Situational Awareness Enhancement for Armed Forces Operating in an Urban Environment

Kaniewski,

Romanik,

Zubel

et al. 2023

2023 Communication and Information Technologies (KIT)

View full text Add to dashboard Cite

Situational awareness of armed forces acting in an urban environment is a key factor determining the success of military operations. In 2021 the European Defence Agency established the project on Wireless Sensor Networks for Urban Local Areas Surveillance. The main goal of the project is to assess how the situational awareness in an urban environment can be enhanced with the application of heterogeneous, autonomous and reconfigurable sensors. The paper presents a novel comprehensive approach that takes into account modelling and management of heterogeneous sensors, energy harvesting techniques, planning and management of the communication backbone, network security for data transfer and authorization for secure information exchange. The architecture of the system and the information flow are presented. The topology aspects are discussed and the sensing part is described. The paper finally highlights new essential enhancements of C2 with particular emphasis on mission planning, data fusion and threat prediction.

show abstract

Collision-aware distributed estimation in WSNs using sensor-censoring random access

Cited by 3 publications

References 19 publications

Collision-aware distributed detection with population-splitting algorithms

Collision-aware distributed detection with population-splitting algorithms

Military Operations: Wireless Sensor Networks based Applications to Reinforce Future Battlefield Command System

Heterogeneous Wireless Sensor Networks Enabled Situational Awareness Enhancement for Armed Forces Operating in an Urban Environment

Contact Info

Product

Resources

About