Energy Efficient Opportunistic Routing with Sleep Scheduling in Wireless Sensor Networks

Mhatre, Kavita; Khot, Uday Pandit

doi:10.1007/s11277-020-07100-z

Cited by 14 publications

(8 citation statements)

References 25 publications

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“…Comparison with other protocols. We analyze our protocol compared with ENS_OR, 7 ENS_OR with sleep mode 8 and TE_OR. 6 We conduct following experiment considering that ENS_OR or TE-OR is an OR algorithm only for relaying data but sleep mode is not introduced and interference is not considered.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

“…Energy saving via opportunistic routing (ENS_OR) adopted the concept of an energy equivalent node for forwarder set selection based on OR principle in one-dimensional opportunistic network and derived the optimal transmission distance for energy saving and maximizing the network lifetime using it. ENS_OR with sleep mode algorithm 8 is developed to decrease energy wastage due to the idle listening of nodes in ENS_OR, which is the main drawback of ENS_OR. It derives the optimum sleep interval using the current flow rate to increase the substantial amount of energy saving and prolong the lifetime of the network.…”

Section: Related Workmentioning

confidence: 99%

“…But existing routing protocols 7–13 in WSNs including one-dimensional queue WSN attempt to find the path of minimum energy consumption from the source node to the BS to achieve optimal energy consumption, considering that transmitting data consumes much more energy than collecting data. Besides, some other routing protocols 6,14–18 are proposed to ensure energy efficiency and to improve sensed data report latency.…”

Section: Introductionmentioning

confidence: 99%

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A distributed energy-efficient opportunistic routing accompanied by timeslot allocation in wireless sensor networks

Ri¹,

Han²,

Pak³

2022

International Journal of Distributed Sensor Networks

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Sensed data can be forwarded only in one direction to the base station in one-dimensional queue wireless sensor networks different from mesh structure, so the network lifetime will be shortened if some continuous neighboring nodes have run out of their energy. So designing routing protocols for balancing energy consumption is a challenging problem. However, traditional and existing opportunistic routing protocols for one-dimensional queue wireless sensor network proposed so far have not yet addressed this problem to prolong the network lifetime by introducing sleep mode. In this article, we propose a distributed energy-efficient opportunistic routing algorithm accompanied by timeslot allocation by using specific network topology of one-dimensional queue wireless sensor network. In our new algorithm, clustering and routing tree construction is performed while introducing the optimal relay transmission distance achieved by using opportunistic routing principle, and at the same time, interference-free wake up time is scheduled, which may optimize energy consumption and decrease the number of various control messages as possible to prolong the network lifetime. Furthermore, this improves energy efficiency by introducing the operation mode giving up cluster head role. Simulation results show that the proposed protocol can significantly improve the network performance such as energy consumption and network connectivity, when compared with other existing protocols.

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Section: Simulation Results and Analysismentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A distributed energy-efficient opportunistic routing accompanied by timeslot allocation in wireless sensor networks

Ri¹,

Han²,

Pak³

2022

International Journal of Distributed Sensor Networks

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“…The authors [28] recommended sleep scheduling algorithm is intended to improve network administration by reducing power distribution due to the passive listening of nodes. The sleep period is proportionate to the remaining power of sensor nodes and adaptive.…”

Section: State Of the Artmentioning

confidence: 99%

Improved Localized Sleep Scheduling Techniques to Prolong WSN Lifetime

Tarasia

Swain

Roy

et al. 2021

SCPE

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A standard Wireless Sensor Networks(WSNs) comprises of low-cost sensor nodes embedded with small batteries. To enhance the network lifetime of WSN, the number of active nodes among the deployed nodes should be minimum. Along with this, it must be ensured that coverage of the targeted area would not get affected by the currently active nodes. Considering different applications of WSN, there is still a demand for full coverage or partial coverage of the deployed area. Irrespective of the circumstances, a proper sleep scheduling algorithm needs to be followed. Else, the active nodes will be tuckered out of the battery. Random distribution of the sensor nodes in a common area may have multiple active nodes. It is essential to identify the redundant number of active nodes and put them into sleep to conserve energy. This paper has proposed a methodology where the active sensor nodes form a hierarchical structure that heals itself by following a level-wise approach. In the meantime, it also detects the total number of redundant nodes in the coverage area. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the network's durability in conjunction with the level wise approach.

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“…WSNs are framed by sensor combinations used for monitoring various environmental parameters. These nodes required a high energy consumption to transmit data [1]. The integration of battery power supply has improved the performance of WSNs.…”

Section: Introductionmentioning

confidence: 99%

A Novel Routing Protocol for Low-Energy Wireless Sensor Networks

Suresh

Prabhu²,

Parthasarathy

et al. 2022

Journal of Sensors

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The battery power limits the energy consumption of wireless sensor networks (WSN). As a result, its network performance suffered significantly. Therefore, this paper proposes an opportunistic energy-efficient routing protocol (OEERP) algorithm for reducing network energy consumption. It provides accurate target location detection, energy efficiency, and network lifespan extension. It is intended to schedule idle nodes into a sleep state, thereby optimising network energy consumption. Sleep is dynamically adjusted based on the network’s residual energy (RE) and flow rate (FR). It saves energy for a longer period. The sleep nodes are triggered to wake up after a certain time interval. The simulation results show that the proposed OEERP algorithm outperforms existing state-of-the-art algorithms in terms of accuracy, energy efficiency, and network lifetime extension.

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Energy Efficient Opportunistic Routing with Sleep Scheduling in Wireless Sensor Networks

Cited by 14 publications

References 25 publications

A distributed energy-efficient opportunistic routing accompanied by timeslot allocation in wireless sensor networks

A distributed energy-efficient opportunistic routing accompanied by timeslot allocation in wireless sensor networks

Improved Localized Sleep Scheduling Techniques to Prolong WSN Lifetime

A Novel Routing Protocol for Low-Energy Wireless Sensor Networks

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