The design of routing protocols for wireless sensor networks (WSNs) has been traditionally tackled by assuming battery-powered sensors, in which minimizing the power consumption was the main objective. Advances in technology and the ability to harvest energy from the environment has enabled self-sustaining systems and thus diminish the significance of network lifetime considerations in the design of WSNs. Although WSNs operated by energy-harvesting sensors are not limited by network lifetime, they still pose new design challenges due to the unstable and uncertain amount of energy that can be harvested from the environment. In this paper, we propose a new protocol for energy-harvesting sensor networks that uses adaptive transmission power to maintain the network connectivity, and distributes the traffic load on the network. Based on local information, each node dynamically adjusts its transmission power in order to maximize the network’s end-to-end performance. The simulation results indicate that the proposed protocol keeps the network connected at most of the times by using an efficient power management, outperforming greedy forwarding and dynamic duty cycle protocols in terms of packet delivery ratio, delay, and power management.
Last. Ihsan Ali(Information Technology University)H-Index: 23
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Wireless Sensor Networks (WSNs) are becoming more and more integrated into industrial and domestic systems such as transport, home automation, etc. However, due to their own characteristics, there are several issues which affect their performance. Some of the issues are briefly presented, but the emphasis is on energy constraint. Energy harvesting as one of the sources of energy in WSNs is found to be the most reliable, and this review is about energy management schemes for this source. The ener...
This paper presents the simple Internet of Things enabler (SITE), a smart home solution that allows users to specify and centrally control Internet of Things smart objects. Unlike most existing systems, SITE supports End-User Development. Hence, it defines a simple language for the specification of control rules for smart objects. It also provides a user interface to graphically illustrate the data received from smart objects. To assess the usability of SITE, we conduct an empirical study involv...
Last. Ismail Ahmedy(Information Technology University)H-Index: 12
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Wireless sensor networks (WSNs) are a collection of several small and inexpensive battery-powered nodes, commonly used to monitor regions of interests and to collect data from the environment. Several issues exist in routing data packets through WSN, but the most crucial problem is energy. There are a number of routing approaches in WSNs that address the issue of energy by the use of different energy-efficient methods. This paper, presents a brief summary of routing and related issues in WSNs. T...
A well-designed energy-efficient routing protocol is an indispensable part for prolonging the lifetime of wireless sensor networks (WSNs) because a sensor node usually has limited energy. Many research efforts are contributed on routing design in WSNs. With the development of green technology, the energy harvesting technique is being applied to real WSNs. Therefore, existing routing protocols are not suitable for such new WSNs with energy harvesting. In this paper, we concentrate on designing a ...
#1Yunquan Dong(NUIST: Nanjing University of Information Science and Technology)H-Index: 12
#2Jian Wang(SNU: Seoul National University)H-Index: 12
Last. Dong In Kim(SKKU: Sungkyunkwan University)H-Index: 61
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We consider cluster-based routing protocols for energy harvesting wireless sensor networks. Since the energy harvesting process does not match the real energy demand, sensor nodes suffer from occasional energy shortages, especially when they serve as cluster head (CH) nodes. To address this problem, we propose a cluster-based routing protocol referred to as distance-and-energy-aware routing with energy reservation (DEARER). The DEARER protocol encourages nodes with high energy-arrival rate or be...
Internet of Things (IoT) devices deliver significant benefits for storing sensing data that could be used intelligently for multiple purposes. A major concern in enhanced living environments (ELEs) is the efficient daily use of sensors in the collection, monitoring, and storing of data to improve users' quality of life. In this article, the authors present an IoT cloud architecture that allows connection of users, their devices, and the cloud system in a modular way by separating modalities into...
The promising potential of the emerging Internet of Things (IoT) technologies for interconnected medical devices and sensors has played an important role in the next-generation healthcare industry for quality patient care. Because of the increasing number of elderly and disabled people, there is an urgent need for a real-time health monitoring infrastructure for analyzing patients' healthcare data to avoid preventable deaths. Healthcare Industrial IoT (HealthIIoT) has significant potential for t...
Recently, Wireless Sensor Networks (WSNs) have attracted lot of attention due to their pervasive nature and their wide deployment in Internet of Things, Cyber Physical Systems, and other emerging areas. The limited energy associated with WSNs is a major bottleneck of WSN technologies. To overcome this major limitation, the design and development of efficient and high performance energy harvesting systems for WSN environments are being explored. We present a comprehensive taxonomy of the various ...
Recently, energy harvesting technology has been integrated into wireless sensor networks to ameliorate the nodes’ energy limitation problem. In theory, the wireless sensor node equipped with an energy harvesting module can work permanently until hardware failures happen. However, due to the change of power supply, the traditional hierarchical network routing protocol can not be effectively adopted in energy harvesting wireless sensor networks. In this paper, we improve the Low-Energy Adaptive Cl...
Transportation is a necessary infrastructure for our modern society. The performance of transportation systems is of crucial importance for individual mobility, commerce, and for the economic growth of all nations. In recent years modern society has been facing more traffic jams, higher fuel prices, and an increase in CO2 emissions. It is imperative to improve the safety and efficiency of transportation. Developing a sustainable intelligent transportation system requires the seamless integration...
Wireless sensor network (WSN) has been a promising technology and widely involved in environmental monitoring. The limited energy supply associated with WSNs impacts the lifetime of the network and the energy constraints make it difficult for sensor nodes to harvest environmental energy. This drawback on the performance of WSN is improved through routing and clustering techniques for environmental energy harvesting and termed as harvesting wireless sensor network (EH-WSN). As a result of the uni...
Power management in wireless sensor networks is very important due to the limited energy of batteries. Sensor nodes with harvesters can extract energy from environmental sources as supplemental ene...
The photoelectric hybrid network has been proposed to achieve the ultrahigh bandwidth, lower delay, and less power consumption for chip multiprocessor (CMP) systems. However, a large number of optical elements used in optical networks-on-chip (ONoCs) generate high transmission loss which will influence network performance severely and increase power consumption. In this paper, the Dijkstra algorithm is adopted to realize adaptive routing with minimum transmission loss of link and reduce the outp...
Last. Fulong Chen(Anhui Normal University)H-Index: 9
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Abstract In wireless rechargeable sensor networks, how to optimize energy resources for maximizing the sensor data is a challenging problem. In this paper, mobile charging vehicle scheduling, sensor charging time splitting and rate control with battery capacity constraints are considered together to maximize network utility. However, they are considered independently in exist works even though these problems are interdependent. In order to improve network performance through collaborative optimi...
This paper studies a wireless sensor relay network consist of a source, a jammer, some distribution helping relays, a information decoding (ID) receiver and a Energy harvesting (EH) receiver. In the first time-slot, the source transmits the legitimate signal to the helping relays equipped a single antenna. Meanwhile, the jammer transmits the jamming signal to the relays in order to disturb the communication between the source and the ID receiver. In the second time-slot, the relays forward the s...
Wireless Sensor Networks (WSNs) consist of multiple sensor nodes, each of which has the ability to collect, receive and send data. However, irregular data sources can lead to severe network congestion. To solve this problem, the Proportional Integral Derivative (PID) controller is introduced into the congestion control mechanism to control the queue length of messages in nodes. By running the PID algorithm on cluster head nodes, the effective collection of sensor data is realized. In addition, a...
#2Hengjing Zhang(USTC: University of Science and Technology of China)H-Index: 1
Last. Taochun Wang(Anhui Normal University)H-Index: 5
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Abstract Wireless sensor networks have a wide range of applications. However, the battery-constrained energy limits the scope of network applications and timeliness. In this paper, we study how to schedule charging and allocate charging time simultaneously for a wireless sensor network for the purpose of prolonging network lifetime and improve charging efficiency. To this end, a mixed integer optimization model for simultaneous charging scheduling and charging time allocation is established thro...
In this article, a reversible authentication scheme for wireless sensor networks (WSNs) is proposed aimed at multiple items authentication and good imperception of transmitted data. Firstly, the WSNs data stream is divided into some authentication groups, and each authentication group is composed of a generator group and a carrier group. Then, the cyclical redundancy check (CRC) code of the generator group is generated as the authentication information, which is composed of the CRC codes of all ...