Energy-efficient topology control algorithm for maximizing network lifetime in wireless sensor networks with mobile sink

Zhao, Huan; Guo, Songtao; Wang, Xiaojian; Wang, Fei

doi:10.1016/j.asoc.2015.05.014

Cited by 56 publications

(41 citation statements)

References 36 publications

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“…MSDGP achieved less energy consumption and provided an extended network lifetime through implementing single message CH selection and introducing a mobile sink instead of static sink. By using greedy policy and dynamic programming, H. Zhao et al [9] proposed a tree-based heuristic topology control algorithm, called MLS to maximize the network lifetime in large scale wireless sensor networks with mobile sinks. The algorithm introduces a predefined delay tolerance level in order for a sensor node to store data temporarily and transmit it to the mobile sink at the most suitable distance to achieve an extended network lifetime.…”

Section: State Of the Artmentioning

confidence: 99%

First Out First Served Algorithm for Mobile Wireless Sensor Networks

Bouirden¹,

Azhari²,

Toumanari³

et al. 2018

ijacsa

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Wireless Sensor Networks (WSNs) have recently gained tremendous attention as they cover a vast range of applications requiring an important number of sensor nodes deployed in the area of interest to measure physiological types of data and send it back to the base station for further analysis and treatment. Many routing protocols have been proposed to perform data routing towards the destination in accordance with energy consumption,end-to-end delay and throughput. In this paper,the First Out First Served algorithm for cluster based routing in Mobile Wireless Sensor Networks was presented. The algorithm aims to increase packet reception within the cluster in a highly constrained environment.The results prove the efficiency of the proposed algorithm in increasing the reception of data packets by the cluster head and enhancing the Radio Coef f icient Dif f parameter of the network.

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Section: State Of the Artmentioning

confidence: 99%

First Out First Served Algorithm for Mobile Wireless Sensor Networks

Bouirden¹,

Azhari²,

Toumanari³

et al. 2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…The two most critical sources of energy cost that impact the lifetime of the sensors and were the main focus of research in this field are the communication energy cost and the computation energy cost [23,31]. Another source of energy cost is the memory storage cost of the sensors [32]; however, due to the nature of our application, collected information by a mobile sensor within a window are discarded when the window ends.…”

Section: Energy Cost Modelmentioning

confidence: 99%

“…The authors of [23] proposed a tree-based heuristics topology control algorithm to maximize the lifetime of WSNs with mobile sinks. Within a predefined delay tolerance level, each node does not need to send the data immediately as it becomes available.…”

Section: Mobile Sinks In Wsnmentioning

confidence: 99%

Efficient Data Collection by Mobile Sink to Detect Phenomena in Internet of Things

2017

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Abstract:With the rapid development of Internet of Things (IoT), more and more static and mobile sensors are being deployed for sensing and tracking environmental phenomena, such as fire, oil spills and air pollution. As these sensors are usually battery-powered, energy-efficient algorithms are required to extend the sensors' lifetime. Moreover, forwarding sensed data towards a static sink causes quick battery depletion of the sinks' nearby sensors. Therefore, in this paper, we propose a distributed energy-efficient algorithm, called the Hilbert-order Collection Strategy (HCS), which uses a mobile sink (e.g., drone) to collect data from a mobile wireless sensor network (mWSN) and detect environmental phenomena. The mWSN consists of mobile sensors that sense environmental data. These mobile sensors self-organize themselves into groups. The sensors of each group elect a group head (GH), which collects data from the mobile sensors in its group. Periodically, a mobile sink passes by the locations of the GHs (data collection path) to collect their data. The collected data are aggregated to discover a global phenomenon. To shorten the data collection path, which results in reducing the energy cost, the mobile sink establishes the path based on the order of Hilbert values of the GHs' locations. Furthermore, the paper proposes two optimization techniques for data collection to further reduce the energy cost of mWSN and reduce the data loss.

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“…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%

“…Zhao et al [21] proposed a framework to maximize the lifetime of WSNs by using a mobile sink. They formulated linear programming models for static as well as mobile sinks.…”

Section: Heterogeneous Network For Wsnsmentioning

confidence: 99%

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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Energy-efficient topology control algorithm for maximizing network lifetime in wireless sensor networks with mobile sink

Cited by 56 publications

References 36 publications

First Out First Served Algorithm for Mobile Wireless Sensor Networks

First Out First Served Algorithm for Mobile Wireless Sensor Networks

Efficient Data Collection by Mobile Sink to Detect Phenomena in Internet of Things

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

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