Energy harvesting and battery power based routing in wireless sensor networks

Anisi, Mohammad Hossein; Abdul-Salaam, Gaddafi; Idris, Mohd Yamani Idna; Wahab, Ainuddin Wahid Abdul; Ahmedy, Ismail

doi:10.1007/s11276-015-1150-6

Cited by 107 publications

(75 citation statements)

References 124 publications

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“…A great number of energy‐efficient clustering algorithms have been suggested in recent years for WSNs based on the network organization and the routing operations. Some of these focused on minimizing the communication distance to reduce energy consumption, and a handful of them focused on fair energy distribution to avoid the routing hole (hot spot) problems …”

Section: Related Workmentioning

confidence: 99%

“…These networks are organized for sensing event‐driven information and transmitting it to the base station (BS) for in‐depth evaluation. WSNs have delivered beneficial outcomes in several applications such as environmental monitoring, surveillance missions, health monitoring, home automation, target tracking, traffic monitoring, fire management, agriculture monitoring, industrial failure detection, and energy management …”

Section: Introductionmentioning

confidence: 99%

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Flower pollination algorithm‐based energy‐efficient stable clustering approach for WSNs

Sharma

Mittal

Sohi

2020

Int J Communication

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The advances in the size, cost of deployment, and user-friendly interface of wireless sensor devices have given rise to many wireless sensor network (WSN) applications. WSNs need to use protocols for transmitting data samples from event regions to sink through minimum cost links. Clustering is a commonly used method of data aggregation in which nodes are organized into groups to reduce energy consumption. Nonetheless, cluster head (CH) has to bear an additional load in clustering protocols to organize different activities within the cluster. Proper CH selection and load balancing using efficient routing protocol is therefore a critical aspect for WSN's long-term operation. In this paper, a threshold-sensitive energyefficient cluster-based routing protocol based on flower pollination algorithm (FPA) is proposed to extend the network's stability period. Using FPA, multihop communication between CHs and base station is used to achieve optimal link costs for load balancing distant CHs and energy minimization. Analysis and simulation results show that the proposed algorithm significantly outperforms competitive clustering algorithms in terms of energy consumption, stability period, and system lifetime. K E Y W O R D SFPA, network lifetime, stability period, WSN

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flower pollination algorithm‐based energy‐efficient stable clustering approach for WSNs

Sharma

Mittal

Sohi

2020

Int J Communication

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“…The nearby sensor node forwards that respective data to one of its nearby nodes that are on the path toward the base station gateway (Figure 1). 7 Although, an IoT oriented WSN is an energy constrained network, such that various aspects have to be considered to transmit data from each node to the destination (sink node). These various aspects can be battery power consumption, bandwidth, processing capability, and storage capacity.…”

Section: Of 14mentioning

confidence: 99%

A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

Kumar

Chaurasiya

2018

Concurrency and Computation

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To give the complete description of an environment or to take a robust decision, a number of observations are collected and combined from multiple sensor nodes. The process of combining and analyzing the observations is called multisensor data fusion. The fusion is used to produce more consistent, accurate, and useful information rather than provided by any individual sensor node. Data fusion finds wide application in many areas of such as object recognition, wireless sensor network, image processing, environment mapping, and localization. Nowadays, the Internet of Things (IoT) utilizes wireless sensor network (WSN) as a necessary platform for data sensing and communication. For efficiency, data fusion is performed on the sensed sample collected by the sensor nodes. However, fusion of the network parameters is also essential to select an appropriate sensor node for the forwarding of data. Therefore, in this paper, we propose a multisensor data fusion (MDF) strategy that performs fusion of the collected network parameters like bandwidth and centrality for the selection of an appropriate path. Extensive simulations were made, and related results showed that our proposed scheme has a better performance compared with other schemes in our simulated scenarios. KEYWORDS data fusion, Internet-of-Things, performance analysis, wireless sensor network INTRODUCTIONA wireless sensor network (WSN) is a type of network that contains large number of nodes having sensing capability such that they can easily detect any changes in the surrounding real-world environment. The nodes in WSN are used to carry sensed information from one to another desired location for further processing. 1,2 Technological advances are being developed daily, and a WSN plays a rapid contribution for providing smart communication with the use of smart devices. These smart devices perform communication at the different locations by providing a level of transparency among users and maintained an interconnected smart network. A number of sensor nodes are constituted by the smart network, which is used to send sensed information and termed as the Internet of Things (IoT). 3 In this paper, we called this network as an IoT oriented WSN. In this network, the users communicate with each other by exchanging of sensed data, monitoring of events, and surrounding and reacting autonomously. 4 The difference between the WSN and IoT oriented WSN is only the few sensors are deployed in WSN rather than along with smart devices for applications.However, the IoT oriented WSN consists of devices having sensors with full network connectivity. The network of IoT oriented WSN is concerned with the loss of packets and performance of the links for achieving high throughput in less delay.The services of IoT oriented WSN are provided by using a standard interface such that users can create a query, retrieve information, and change their states accordingly. An Internet link is used to provide the standard interface between users and IoT devices. The hardware components of a sensor no...

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“…The trend is quite significant and the application is almost limitless. Researchers have consistently explored this field of great interest and new grounds and methodologies have been identified [1]- [2]- [3]- [4] thereby making the challenges of today success stories of tomorrow. Wireless sensor network application used to be a stationary based technology.…”

Section: Introductionmentioning

confidence: 99%

Deployment of an Energy Efficient Routing Protocol for Wireless Sensor Networks Operating in a Resource Constrained Environment

Oyedare

Imoize

Ezekafor

et al. 2019

TNC

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Wireless Sensor Networks often exist in a resource constrained environment and the most critical limitation is energy or battery life. In most cases, the batteries cannot be recharged during operation and cannot be replaced during transmission without interfering with the quality of service. An efficient routing protocol that can prolong the life span of the energy source for mobile wireless sensor network (WSN) is proposed in this paper. Hierarchical routing protocol improved the life span by more than six times compared to direct techniques. Sets of varied parameters were used to obtain simulation results. A sample typical of a hospital layout was used in this paper. Wards were assigned varied sensor range which depicts number of patients that fall into these banded regions of clusters. Service centers were created to ensure that random mobilization of sensors or patient per round is achieved for one of the simulation option. Simulation rounds were carried out for non-hierarchical (direct) and low energy adaptive clustering hierarchy (LEACH) based routing protocols. Model validation was done by setting up a real life test using Wi-Fi sensor node module ESP8266 properly distributed, and this was done without mobility. Effect of base station location was also investigated and results tabulated. With improved battery and network life span from both simulation and live validation for hierarchical routing, quality of service is greatly improved in health-care deliveries; cost of replacing energy sources is reduced. Results were also compared with other similar works to support our conclusion. Though results were not exact when compared, parameters used could cause tolerable difference. Furthermore, same result could not be achieved for different locations, varied number of wards, varied number of sensor nodes per wards as well as variations in other modeling parameters. T r a n s a c t i o n s o n N e t w o r k s a n d C o m m u n i c a t i o n s ; V o l u m e 7 , N o . 1 , F e b r u a r y 2 0 1 9 C o p y r i g h t © S o c i e t y f o r S c i e n c e a n d E d u c a t i o n , U n i t e d K i n g d o m 35

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Energy harvesting and battery power based routing in wireless sensor networks

Cited by 107 publications

References 124 publications

Flower pollination algorithm‐based energy‐efficient stable clustering approach for WSNs

Flower pollination algorithm‐based energy‐efficient stable clustering approach for WSNs

A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)

Deployment of an Energy Efficient Routing Protocol for Wireless Sensor Networks Operating in a Resource Constrained Environment

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