Sink Mobility Model for Wireless Sensor Networks

Taleb, Anas Abu; Alhmiedat, Tareq; Taleb, Reem Abu; Hassan, Osama Al-Haj

doi:10.1007/s13369-013-0811-y

Cited by 24 publications

(39 citation statements)

References 17 publications

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“…In this work, it consists of single mobile node which is moving in order to achieve Random Waypoint Mobility (RWM) [26] model, called mobile CR manager. This model is grouped into four types namely controlled mobility, random mobility, predictable mobility and geographic mobility.…”

Section: B Cr Manager Mobilitymentioning

confidence: 99%

E 2CL, HC: Energy Efficient Cooperative Localized & Hierarchical Cluster Routing in CRN

Manjula

et al. 2019

IJEAT

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With the advancement of Cognitive Radio Network (CRN), localization of primary users progress the improvement of network performance with respect to power adoption and reliability. Moreover, CRN localization is essential because storage energy of CR devices is limited and causes increased network lifetime. By considering these issues, we propose an Energy Efficient Cooperative Localization approach (EE-CL) in CRN, which is used for placing Primary User (PU) position with the help of mobile a aided CR. Moreover, communication among CRs cooperation which leads to demand of more energy, a mobile CR is allowed to manage the overall positional accuracy and wake up minimum number of CR to collaborate CR manager. In order to investigate influence of accurate location knowledge, a location-aware CR (LaCR) routing protocol employed and to improve the network life time a Hierarchical clustering approach is applied. We evaluated the simulation results for the proposed Energy Efficient Cooperative Localization (EE-CL) Routing approach which achieves better performance compared to existing Cooperative Localization (CL) with respect to energy efficiency. Furthermore, remarkable performance is accomplished by LaCR protocol in terms of PUs collision risk with the help of localization knowledge obtained from EE-CL approach. Also Hierarchical Cluster Routing protocol acheives significant performance in enhancing the network life time.

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Section: B Cr Manager Mobilitymentioning

confidence: 99%

E 2CL, HC: Energy Efficient Cooperative Localized & Hierarchical Cluster Routing in CRN

Manjula

et al. 2019

IJEAT

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“…A mobile element may move through the distributed sensor nodes in the area of interest and collect the sensed data from stationary sensor nodes instead of forwarding the collected data to a sink node. A survey on sink mobility models in WSNs is presented in [12].…”

Section: Related Workmentioning

confidence: 99%

“…A novel sink mobility model derived from De Bruijn graph was proposed in [15]; the proposed model combines the use of single hop and multihop communication to collect data from static sensor nodes. The performance was studied in terms of end-to-end delivery and data success rate.…”

Section: Related Workmentioning

confidence: 99%

“…(1) let be the nodes in the ZigBee network > 0 (2) let be the router nodes 0 < < (3) let be the energy of router node (4) let sensed data be the information detected by a sensor node (5) let sink be the sink node (6) let MR be a mobile robot (7) detects ambient environment (8) transmits sensed data to local-sink (for instance ) (9) if a CH ( for instance) exceeds the pre-assigned energy threshold 1 (10) if partitioned WSNs exist (11) MR obtains information of partitioned WSN from the sink node (12) collects and aggregates the sensed data from its child-nodes (13) stops forwarding the received packets to the sink node (14) waits for MR to visit (15) MR collects sensed data from near-drain router node (16) MR brings these data back to the sink node (17) end if (18) end if (19) end Algorithm 4: Data collection using MR through energy threshold 1.…”

Section: Mobile Robotmentioning

confidence: 99%

“…International Journal of Distributed Sensor Networks (1) let be the nodes in the ZigBee network > 0 (2) let be the router nodes 0 < < (3) let be the router nodes in a cluster (4) let be the CH for a cluster (5) let sensed data be the information detected by a sensor node (6) let sink be the sink node (7) for every router node (lets start with ) in a cluster (8) collects the sensed data from its end-device nodes (9) aggregates the collected sensed data (10) transmits its aggregated data to a CH (i.e. ) (11) end for (12) transmits the aggregated data to the sink (13) end Algorithm 2: Data collection through CHs.…”

mentioning

confidence: 99%

See 2 more Smart Citations

An Adaptive Energy-Efficient Data Collection System for ZigBee Wireless Sensor Networks

Alhmiedat

2015

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) are deployed in large areas to monitor a number of events in an area of interest. Monitoring environmental events by distributed sensor networks faces the challenge of high power consumption requirement over time, due to the large number of packets required for multihop data collection. To overcome the scalability issue of large scale WSNs, a proof-of-concept implementation demonstrates that integrating a mobile robot (MR) system with a clustering system for ZigBee WSNs will significantly increase the lifetime of the system, by conserving energy that the sensor nodes otherwise would use for communication. In this paper, two energy-efficient systems have been proposed: clustering and MR systems. The former divides the ZigBee WSN into smaller regions, allocates a cluster-head for each region, and aggregates the collected data, whereas the latter collects the sensed data from cluster-heads. The effectiveness of the proposed system has been demonstrated via simulation and experimental studies and verified that, using a single robot for data collection, the lifetime of the network can be extended by 2.3 times in average.

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Reliable Data Collection with Mobile Sink Using Seamless Handover in Duty Cycled Based WSNs

Kechar

Hamamine

2017

Wireless Pers Commun

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Sink Mobility Model for Wireless Sensor Networks

Cited by 24 publications

References 17 publications

E 2CL, HC: Energy Efficient Cooperative Localized & Hierarchical Cluster Routing in CRN

E 2CL, HC: Energy Efficient Cooperative Localized & Hierarchical Cluster Routing in CRN

An Adaptive Energy-Efficient Data Collection System for ZigBee Wireless Sensor Networks

Reliable Data Collection with Mobile Sink Using Seamless Handover in Duty Cycled Based WSNs

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