An Energy Efficient Distance-Aware Routing Algorithm with Multiple Mobile Sinks for Wireless Sensor Networks

Wang, Jin; Li, Bin; Xia, Feng; Kim, Chang-Seob; Kim, Jeong-Uk

doi:10.3390/s140815163

Cited by 34 publications

(14 citation statements)

References 21 publications

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“…How to choose the direction of the sink node motion to optimize total transmission energy for the top two relay nodes in PT. Wang et al [15] and Dandekar and Deshmukh [16] refers the optimal search with multiple hop transmission. Balancing the interest of the relay node A and B changes the slope of the sink node travel path.…”

Section: Intelligent Positioning For a Sink Nodementioning

confidence: 99%

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Yasotha

Gopalakrishnan²,

Mohankumar

2015

Wireless Pers Commun

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A wireless sensor network (WSN) plays a major role in many recent applications now such as surveillance and security, target tracking, agriculture, health and military purposes. The main problem with WSN is the energy resource for long lasting lifetime. Therefore an efficient methodology is to be implemented for improving the energy level of WSN. Also some efforts have focused on the mobility of a single or multiple sink nodes. The mobility of the sink node introduces a tradeoff between the need for frequent re-routing to optimize the performance and the minimization of the overhead resulting from this topology management. In this we propose a novel approach to increase the lifetime of a sensor network based on the mobility, static sink repositioning and multiplicity of sinks. Optimal sink position also identified using optimal search concepts and multipath routing in large scale sensor networks with multiple sink nodes for energy is implemented for entire WSN. Based on the evolution of network in terms of energy dissipation and distribution this approach reaches to find the optimal position for all the sinks in order to optimize the lifetime of the network and move according with intelligent sink positioning. The simulation result shows the efficiency of our approach in terms of energy gain.

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Section: Intelligent Positioning For a Sink Nodementioning

confidence: 99%

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Yasotha

Gopalakrishnan²,

Mohankumar

2015

Wireless Pers Commun

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“…According to (19), the increase in radio transmission range of each CH depends on its residual energy. Thus, it guarantees the energy balance among sensor nodes in the network.…”

Section: A Evaluating Ch Transmission Rangementioning

confidence: 99%

“…In this subsection, we evaluate the performance of two scenarios of the OMS algorithm (we define scenario 1 as OMS1 and scenario 2 as OMS2) by comparing them with two other conventional strategies: (i) static sink, where a stationary sink node is located at the center of the network B 0 (150,150); (ii) random moving strategy, where an MS moves randomly in the sensing field; and (iii) MSs moving along the boundary of the network as proposed in [19]. Figure 8 depicts the comparison of the network lifetime between these five schemes.…”

Section: B Performance Analysis Of the Mobile Sink Trajectory Optimimentioning

confidence: 99%

Efficient Approach for Maximizing Lifespan in Wireless Sensor Networks by Using Mobile Sinks

Nguyen¹,

Nguyen²,

Le³

2017

ETRI Journal

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Recently, sink mobility has been shown to be highly beneficial in improving network lifetime in wireless sensor networks (WSNs). Numerous studies have exploited mobile sinks (MSs) to collect sensed data in order to improve energy efficiency and reduce WSN operational costs. However, there have been few studies on the effectiveness of MS operation on WSN closed operating cycles. Therefore, it is important to investigate how data is collected and how to plan the trajectory of the MS in order to gather data in time, reduce energy consumption, and improve WSN network lifetime. In this study, we combine two methods, the cluster-head election algorithm and the MS trajectory optimization algorithm, to propose the optimal MS movement strategy. This study aims to provide a closed operating cycle for WSNs, by which the energy consumption and running time of a WSN is minimized during the cluster election and data gathering periods. Furthermore, our flexible MS movement scenarios achieve both a long network lifetime and an optimal MS schedule. The simulation results demonstrate that our proposed algorithm achieves better performance than other well-known algorithms.

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“…In particular, since the radio part is frequently the most power-hungry characteristic of a WSN node, the appropriate control of the duty cycle is significant to extend the battery life. For instance, the amount of consumed power could be significantly diminished through energy-efficient routing schemes [34,35] to find, among all the possible communication paths, which one lessens the energy consumption. Besides, the nodes can be grouped through a clustering algorithm.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

Pau

Salerno

2019

Electronics

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This paper introduces a fuzzy-based method that, according to the ratio of Throughput to Workload and the battery level, manages the sleeping time of devices in Wireless Sensor Networks (WSNs) for smart homes. The purpose of this work is a system that can be executed on off-the-shelf hardware and offers enhanced performance confronted with other approaches. The challenge here is to achieve a practical method that reaches the target while bypassing complex and computationally expensive solutions, which would diminish the possible applicability of the method in real scenarios. The retrieved results prove that the proposed approach outperforms other solutions, significantly prolonging the life of battery-powered wireless devices with also satisfactory values of the ratio Throughput to Workload. Besides, a proof-of-concept implementation on off-the-shelf devices confirms that the proposed method does not expect powerful hardware and can be surely implemented on a low-cost device.

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An Energy Efficient Distance-Aware Routing Algorithm with Multiple Mobile Sinks for Wireless Sensor Networks

Cited by 34 publications

References 21 publications

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Efficient Approach for Maximizing Lifespan in Wireless Sensor Networks by Using Mobile Sinks

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

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