Multi-hop Cluster Based Routing Approach for Wireless Sensor Networks

Arioua, Mounir; Assari, Younes El; Ez‐zazi, Imad; Oualkadi, Ahmed El

doi:10.1016/j.procs.2016.04.277

Cited by 61 publications

(25 citation statements)

References 21 publications

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“…Further architecture is clustered sensor network where special nodes are selected to relay other nodes packets. This architecture has been proven to be more energy efficient than multi-hop networks and adopted in many applications [39] . However, the effect of the coding and decoding schemes in this kind of network have been neglected in many works.…”

Section: Related Workmentioning

confidence: 99%

On the performance of adaptive coding schemes for energy efficient and reliable clustered wireless sensor networks

et al. 2017

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Clustering is the key for energy constrained wireless sensor networks (WSNs). Energy optimization and communication reliability are the most important consideration in designing efficient clustered WSN. In lossy environment, channel coding is mandatory to ensure reliable and efficient communication. This reliability is compromised by additional energy of coding and decoding in cluster heads. In this paper, we investigated the trade-off between reliability and energy efficiency and proposed adaptive FEC/FWD and FEC/ARQ coding frameworks for clustered WSNs. The proposed schemes consider channel condition and inter-node distance to decide the adequate channel coding usage. Simulation results show that both the proposed frameworks are energy efficient compared to ARQ schemes and FEC schemes, and suitable to prolong the clustered network lifespan as well as improve the reliability.

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Section: Related Workmentioning

confidence: 99%

On the performance of adaptive coding schemes for energy efficient and reliable clustered wireless sensor networks

et al. 2017

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“…Unlike Radio Frequency (RF) signals that encompass higher attenuation during conductive seawater while optical signals are free of such attenuation tangle but face the scattering issue. There are some hindrances in acoustic signals such as bandwidth limitation, increasing rate of bit error, and delay count in propagation [3]. UWSNs have countless applications particularly in oil and gas exploration, battlefield spying, building inspection, target field imaging, disaster detection and prevention, submarine targeting, offshore and natural undersea resources exploration, detection of atmospheric conditions such as change in temperature, light, sound or the existence of unlikely objects, and of course inventory control, etc.…”

Section: Introductionmentioning

confidence: 99%

Design of Shrewd Underwater Routing Synergy Using Porous Energy Shells

et al. 2020

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During the course of ubiquitous data monitoring in the underwater environment, achieving sustainable communication links among the sensor nodes with astute link quality seems an ordeal challenge. Energy utilization has a direct impact because all active devices are battery dependent and no charging or replacement actions can be made when cost- effective data packet delivery has been set as the benchmark. Hop link inspection and the selection of a Shrewd link through a resurrecting link factor have been nothing short of a bleak challenge, and only possible after meticulous research to develop a shrewd underwater routing synergy using extra porous energy shells (SURS-PES) which has never been conducted before. After broadcasting packets, the sensor node conducts a link inspection phase, thereby, if any link is found to be less than or equal to 50% shaky, the destination receiving node adds its residual energy status and returns it to the source node which adds some unusable energy porous shell to strengthen the link from 5% to a maximum of 90% and sends it only to the targeted node, therefore, an unaltered data packet delivery is anticipated. Performance evaluation was carried out using an NS2 simulator and the obtained results were compared with depth-based routing (DBR) and energy efficient DBR (EEDBR) to observe the outcomes with results that confirmed the previously mentioned direction for research in this area.

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“…Irrespective of various clustering operation, the member nodes forwards all the raw information of the event to the selected cluster head, which performs data fusion in order to remove the redundancies. The fused data are then forwarded by the cluster head to another cluster head (multihop) or directly to the base station (single‐hop) . The complete process is called as data aggregation .…”

Section: Introductionmentioning

confidence: 99%

“…The fused data are then forwarded by the cluster head to another cluster head (multihop) or directly to the base station (single-hop). [5][6][7][8][9][10] The complete process is called as data aggregation. 11 It is essential to know that clustering targets to save energy and various other resources of the sensor node so that sensing operation can be continued for a long time.…”

Section: Introductionmentioning

confidence: 99%

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Jyothi

Usha

2020

Int J Communication

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Summary Clustering is one of the essential operations in wireless sensor network (WSN) to ensure organized data aggregation followed by energy efficiency. However, obtaining optimal clustering performance is yet an unsolved problem in WSN. Review of existing approaches towards cluster optimization shows that effective balance between energy efficiency and topology control is still missing. Therefore, the proposed system presents a unique topology control mechanism using a novel concept of interstellar orientation toward optimizing the clustering performance in WSN. Adopting an analytical research methodology, the proposed system introduces two interstellar‐based topology control system, which targets the maximum saving of resource consumption of the cluster head. The simulated outcome of the study shows that the proposed topology control system offers significant energy conservation performance in comparison to the existing hierarchical clustering scheme in WSN.

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Multi-hop Cluster Based Routing Approach for Wireless Sensor Networks

Cited by 61 publications

References 21 publications

On the performance of adaptive coding schemes for energy efficient and reliable clustered wireless sensor networks

On the performance of adaptive coding schemes for energy efficient and reliable clustered wireless sensor networks

Design of Shrewd Underwater Routing Synergy Using Porous Energy Shells

Interstellar‐based topology control scheme for optimal clustering performance in WSN

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