Optimized TDMA multi-frequency scheduling access protocols for sensor networks

Gherairi, Salsabil; Ouni, Sofiane; Kamoun, Farouk

doi:10.1109/ccca.2011.6031412

Cited by 6 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Within a cluster, the TDMA technology is used, while different clusters use different CDMA codes for intercluster interference avoidance. Similarly, frequency division multiple access (FDMA) together with TDMA scheme can also provide interference free for cluster‐based networks . However, because of limited capability of a sensor node, we think that using two medium access techniques is impractical.…”

Section: Clustering Technology and Apmentioning

confidence: 99%

See 1 more Smart Citation

Affinity propagation‐based interference‐free clustering for wireless sensor networks

Lin

Chen

2019

Int J Communication

View full text Add to dashboard Cite

Summary Wireless sensor networks (WSNs), eg, industrial WSNs, require reliability and real‐time communication. Clustering technique together with schedule‐based access can provide the benefits, such as energy saving, reliability, and timeliness. However, integrating above two technologies into WSNs requires sophistical time slot allocation mechanism. To simplify the time slot allocation, the paper proposes a distributed interference‐free clustering algorithm for WSNs. The algorithm is inspired by affinity propagation (AP) clustering algorithm. By adapting and improving the original AP algorithm, the proposed clustering algorithm aims to jointly optimize energy saving and coverage issues while providing interference free between clusters. The performance analysis demonstrates that it can achieve high receiving rate (reliability), low delay (real time), and low‐energy consumption.

show abstract

Section: Clustering Technology and Apmentioning

confidence: 99%

“…Otherwise, no message is sent out. Upon receiving the availabilities from its neighbors, node i calculates its responsibility to each of its neighbors using (7). Similarly, a new responsibility is sent to its neighbors only when the difference to the previous one exceeds the threshold r .…”

Section: Algorithmmentioning

confidence: 99%

Affinity propagation‐based interference‐free clustering for wireless sensor networks

Lin

Chen

2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Even though only a few works are dedicated to interference-free, people do realize the importance of providing interference-free communication for cluster-based networks. Most of previous works introduce interference-free based on multiple access technologies or complex timeslot allocation methods for clustered WSNs [16]- [21], but the clusters themselves are not interference-free. This makes them inefficient, especially for large-scale WSNs.…”

Section: Introductionmentioning

confidence: 99%

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

Chen¹,

Lin²,

Wang³

et al. 2019

KSII TIIS

View full text Add to dashboard Cite

Saving energy is a big challenge for Wireless Sensor Networks (WSNs), which becomes even more critical in large-scale WSNs. Most energy waste is communication related, such as collision, overhearing and idle listening, so the schedule-based access which can avoid these wastes is preferred for WSNs. On the other hand, clustering technique is considered as the most promising solution for topology management in WSNs. Hence, providing interference-free clustering is vital for WSNs, especially for large-scale WSNs. However, schedule management in cluster-based networks is never a trivial work, since it requires inter-cluster cooperation. In this paper, we propose a clustering method, called Interference-Free Clustering Protocol (IFCP), to partition a WSN into interference-free clusters, making timeslot management much easier to achieve. Moreover, we model the clustering problem as a multi-objective optimization issue and use non-dominated sorting genetic algorithm II to solve it. Our proposal is finally compared with two adaptive clustering methods, HEED-CSMA and HEED-BMA, demonstrating that it achieves the good performance in terms of delay, packet delivery ratio, and energy consumption.

show abstract

“…Collision occurs when two nodes transmit at a same time and hence needed retransmission increasing power consumption. Overhearing and idle listening are also the issues, increasing the cost and power consumption [6].…”

Section: Wsnmentioning

confidence: 99%

“…M. Khan and F. H. Ali [6] proposed a novel MA-MAC protocol to provide a contention based collision free transmission utilizing back-off value allocation to the joining nodes rather than random selection of values to resolves control message collisions as well. The request mechanism was introduced before entering a new cluster to solve mobile node's association problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Delay Sensitive and Interference Aware MAC Protocol for WSN

Gopalan¹,

Murugappan²

2016

IJIES

View full text Add to dashboard Cite

Abstract:Interference is the most important issue in Wireless Sensor Network (WSN) as it causes severe degradation during communication. Also, as sensor nodes are power constraint, hence the system is expected to operate for longer duration without any delay during communication. In order to overcome these issue a delay sensitive and interference aware MAC protocol for WSN is proposed. In this paper, first MAC protocol is proposed which divides network into layer and assign node to each layer to avoid data loss in the network. Once network is divided to the multi-layer, timeslot is assigned to each node. To utilize the channel efficiently, timeslot steal mechanism is implemented. To avoid interference, a hybrid prioritization scheme is implemented to prioritize the packet queue based on weight of the packet queue and based on the idle time of the prioritized packet.

show abstract

Optimized TDMA multi-frequency scheduling access protocols for sensor networks

Cited by 6 publications

References 7 publications

Affinity propagation‐based interference‐free clustering for wireless sensor networks

Affinity propagation‐based interference‐free clustering for wireless sensor networks

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

Delay Sensitive and Interference Aware MAC Protocol for WSN

Contact Info

Product

Resources

About