On Maximizing the Lifetime of Wireless Sensor Networks in Event-driven Applications with Mobile Sinks

Tashtarian, Farzad; Moghaddam, Mohammad Hossein Yaghmaee; Sohraby, K.; Effati, Sohrab

doi:10.1109/tvt.2014.2354338

Cited by 58 publications

(69 citation statements)

References 38 publications

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“…Authors in [22] focused on the upper bound of the total distance traveled by the mobile sink. Authors believe that the inter-transition distance between any two successive positions of a mobile sink must be restricted to avoid data loss.…”

Section: Heterogeneous Network For Wsnsmentioning

confidence: 99%

“…However, authors in [21][22][23] do not exploit clustering, whereas we do so in order to prolong the network lifetime. Mobility of actors has been exploited in [24][25][26] to improve or recover connected coverage lost due to failure of an actor.…”

Section: Heterogeneous Network For Wsnsmentioning

confidence: 99%

“…• Initial energy (22)- (25): As MBEENISH and iMBEENISH protocols are heterogeneous, therefore, these protocols utilize four levels of energy. So, the initial energy of normal nodes is given by Eq.…”

Section: Mobile Sink Modelmentioning

confidence: 99%

See 2 more Smart Citations

Sink mobility aware energy-efficient network integrated super heterogeneous protocol for WSNs

Akbar

Javaid

Imran

et al. 2016

J Wireless Com Network

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In this paper, we propose Balanced Energy-Efficient Network Integrated Super Heterogeneous (BEENISH), improved BEENISH (iBEENISH), Mobile BEENISH (MBEENISH), and improved Mobile BEENISH (iMBEENISH) protocols for heterogeneous wireless sensor networks (WSNs). BEENISH considers four energy levels of nodes and selects cluster heads (CHs) on the base of residual energy levels of nodes and average energy level of the network, whereas iBEENISH dynamically varies the CHs selection probability in an efficient manner leading to increased network lifetime. We also present a mathematical sink mobility model and validate this model by implementing it in BEENISH (resulting in MBEENISH) and iBEENISH (resulting in iMBEENISH). Finally, simulation results show that BEENISH, MBEENISH, iBEENISH, and iMBEENISH protocols outperform contemporary protocols in terms of stability period, network lifetime, and throughput.

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Section: Heterogeneous Network For Wsnsmentioning

confidence: 99%

Section: Heterogeneous Network For Wsnsmentioning

confidence: 99%

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Sink mobility aware energy-efficient network integrated super heterogeneous protocol for WSNs

Akbar

Javaid

Imran

et al. 2016

J Wireless Com Network

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“…Heterogeneous sensor data is involved in the large scale deployment and multi-hop routing backbone is developed by using the programmable sensor nodes. Visualization of the semantic services is achieved by the service oriented sensor grid architecture [3] [4]. The Primary purpose of integrating sensors and grid computing is to design a real time system framework for decision support for proactive and reactive based events.…”

Section: Recent Workmentioning

confidence: 99%

“…To increase the network operations and network life time in the sensor grid architecture, various event driven applications are utilized with mobile sinks [3]. To detect the optimum trajectory of the mobile sinks, regression techniques involving support vector parameters are used.…”

Section: Recent Workmentioning

confidence: 99%

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Subhashini¹,

Alli²

2016

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Researches related to wireless sensor networks primarily concentrate on Routing, Location Services, Data Aggregation and Energy Calculation Methods. Due to the heterogeneity of sensor networks using the web architecture, cross layer mechanism can be implemented for integrating multiple resources. Framework for Sensor Web using the cross layer scheduling mechanisms in the grid environment is proposed in this paper. The resource discovery and the energy efficient data aggregation schemes are used to improvise the effective utilization capability in the Sensor Web. To collaborate with multiple resources environment, the grid computing concept is integrated with sensor web. Resource discovery and the scheduling schemes in the grid architecture are organized using the medium access control protocol. The various cross layer metrics proposed are Memory Awareness, Task Awareness and Energy Awareness. Based on these metrics, the parameters-Node Waiting Status, Used CPU Status, Average System Utilization, Average Utilization per Cluster, Cluster Usage per Hour and Node Energy Status are determined for the integrated heterogeneous WSN with sensor web in Grid Environment. From the comparative analysis, it is shown that sensor grid architecture with middleware framework has better resource awareness than the normal sensor network architectures.

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Multihop data gathering in wireless sensor networks with a mobile sink

Tashtarian

Sohraby

Varasteh

2017

Int J Communication

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Summary Network performance can be improved by using a mobile sink (MS) to collect sensed data in a wireless sensor network. In this paper, we design an efficient trajectory for MS, collecting data from sensor nodes in a multihop fashion, with the aim of prolonging the network lifetime. Considering event‐driven applications, we present an approach to jointly determine the optimal trajectory for MS and data paths and transmission rates from source nodes to MS, without considering any rendezvous points. In these applications, an MS is supposed to harvest the data from source nodes in a given time‐slot. We first show that this problem is in form of a mixed integer nonlinear programming model, which is NP‐hard. Then, to achieve an approximate solution, we divide the mentioned problem into 2 simple subproblems. In fact, after determining an approximate zone for the trajectory of MS, the optimal data paths and transmission rates from source nodes to the MS are obtained through a mathematical optimization model. Finally, to illustrate the efficiency of the proposed approach, we compare the performance of our algorithm to an rendezvous point–based and also the state‐of‐the‐art approach in different scenarios.

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On Maximizing the Lifetime of Wireless Sensor Networks in Event-driven Applications with Mobile Sinks

Cited by 58 publications

References 38 publications

Sink mobility aware energy-efficient network integrated super heterogeneous protocol for WSNs

Sink mobility aware energy-efficient network integrated super heterogeneous protocol for WSNs

Enabling Resource Awareness in Integrated Sensor Grid Framework Using Cross Layer Scheduling Mechanism

Multihop data gathering in wireless sensor networks with a mobile sink

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