An Energy-Balanced Routing Method Based on Forward-Aware Factor for Wireless Sensor Networks

Zhang, Degan; Li, Guang; Zheng, Ke; Ming, Xue-Chao; Pan, Zhao-hua

doi:10.1109/tii.2013.2250910

Cited by 446 publications

(236 citation statements)

References 20 publications

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“…In other words, FTA define forward energy density which constitutes forward-aware factor with link weight, and propose a new communication protocol based on forward-aware factor, thus balancing the energy consumption and prolonging the network function lifetime [11]. Thus, in forward aware factor [12],we measure the forward transmission area, by defining forward energy density, which constitutes forward-aware factor with link weight that balancing the energy consumption and increases the network lifetime. It has some key aspects such as a reduced number of messages for setting up a routing tree, maximized number of overlapping routes, high aggregation rate, and reliable data aggregation and transmission.…”

Section: Forward Aware Factor-energy Balanced Routing Methods (Fafmentioning

confidence: 99%

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A Research Review on Segmentation Techniques

Sharma¹

2017

IJRASET

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Wireless Sensor Network is made up of a large number of inexpensive nodes that are networked via low power wireless communications. Recent technological advances in microelectronics, sensing, signal processing, wireless communications and networking have enabled the realization of a dense network of inexpensive wireless sensor nodes, each having sensing, computational and communication capabilities. Proposed applications of sensor networks include environmental monitoring, natural disaster prediction, smart homes, health care, manufacturing, transportation, home appliances and entertainment. In this manner, vitality assets for remote sensor systems ought to be overseen carefully to amplify the lifetime of systems. There are a few number of vitality proficient protocols which have been utilized to draw out the system lifetime of the remote sensor systems. These conventions can further be enhanced to accomplish better results. WSN has a design trade-off between energy and communication overhead which forms the nerve center of the routing techniques. Keywords: Clustering, network lifetime, routing protocols, wireless sensor networks, cluster heads (CHs), cluster members (CMs), forward transmission area (FTA) I. INTRODUCTIONWith the faster growing in electronics industry, small inexpensive battery-powered wireless sensors have made an impact on the communications with the physical world. From the last few years, the routing protocol in WSN has become one of the research field [1]. There are number of research achievements which have been existed in this field. WSN consists of spatially conveyed self-governing gadgets utilizing sensors to helpfully screen physical or ecological conditions, for example, temperature, sound, vibration, weight, movement or poisons, at distinctive areas [2]. The improvement of WSN was originally motivated by military applications for battlefield surveillance. Thereafter, WSN works are utilized as a part of numerous civilian application areas, including environment and living space observing, human services, health care applications, home automation, and traffic control. Each sensor node is battery powered and equipped with integrated sensors, data processing capabilities and short-range radio communications [3]. This network contains a large number of nodes which sense data from an impossibly inaccessible area and send their reports towards a processing centre which is called "sink". Since, sensor nodes are power-constrained devices, frequent and long-distance transmissions should be kept to minimum in order to prolong the network lifetime [4]. Thus, direct communications between nodes and the base station are not encouraged. Because the large part of energy in the network is consumed in wireless communication in a WSN, several communication protocols have been proposed to realize power-efficient communication in these networks [5]. There are still more issues and challenges which need to be solved in the sensor networks. The main issues are:-Security: -how to secure the WSN and...

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Section: Forward Aware Factor-energy Balanced Routing Methods (Fafmentioning

confidence: 99%

“…The distance between the signal source and receiver can be computed based on the received signal strength. Regional central nodes are not selected at the beginning, on the contrary, they spring up during the topology evolution [13].…”

Section: Forward Aware Factor-energy Balanced Routing Methods (Fafmentioning

confidence: 99%

A Research Review on Segmentation Techniques

Sharma¹

2017

IJRASET

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“…Hence, Eason's [6] paper first defines the coveragepreserving data gathering problem, which mainly selects a certain number of nodes to construct an energy-efficient tree while preserving the original coverage. This problem can be formalized into integer linear programming, and Zhang [7] presents a heuristic algorithm, CPDG, to solve this problem.…”

Section: Overview IImentioning

confidence: 99%

“…This problem can be formalized into integer linear programming, and Zhang [7] presents a heuristic algorithm, CPDG, to solve this problem. Simulation results show that CPDG can greatly improve the performance of the network.…”

Section: Overview IImentioning

confidence: 99%

Network Service Method under Cloud Environment of Wireless Sensor Networks in Disaster Situation

Chen¹

2016

Int. J. Onl. Eng.

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Abstract-The sensor networks are characterized by tiny, inexpensive, and advanced communication technology. However, wireless ad-hoc sensor networks (WASNs) have some issues such as the limited amount of energy, multipath fading, and some other issues when they applied in disaster situations. For reducing power consumption, we show mathematical analysis of energy saving, and enhanced error symbol probability. The simulation results prove our analysis. As for the multipath fading, we also show the mathematical analysis of fading channel characteristics and channel model, as well as how to mitigate the multipath fading by modulation and diversity techniques. From the simulation results, we prove the proposed system with amplify-and-forward (AF) relaying can achieve a 2.5 dB performance gain the BER 10 -4 whereas the achievable improvement is almost a 4 dB at the BER 10 -5 when using maximal ratio combining.

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“…Researchers find that different topics have different influence, even if influence of the same topic is also different in different groups [5,6,7]. Some scholars rank the events by the frequencies of event reported in time units and the number of consecutive effective time units [8], and a ranking algorithm is proposed to find the most authoritative news sources and identify the most interesting events in the different categories to which news article belongs [9].…”

Section: Introductionmentioning

confidence: 99%

Event Multiple Influence Calculation and Relationship of Multiple Influence Discovery

Xue¹,

Xu²,

Yu³

2016

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-Due to the development of web technology, the research on Internet big data become more and more popular. However, information presents polymorphism and complexity under the status of the rapid development of Internet big data. Most of the traditional methods of event influence calculation use observable data to evaluate and ignore the decay influence of event. In fact, event influence growths from the moment of event happening to the end, meanwhile, it accompanis with a certain decay. What's more, event influence presents observable influence and decay influence on different network media. This paper proposes a new method to calculate event influence on different network media and find the relationships between observable influence and decay influence on different stages of event. Experiments show that better influence calculation will be achieved by decay algorithm based on Ebbinghaus forgetting curve and information fusion by considering interaction between observable influence and decay influence.

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An Energy-Balanced Routing Method Based on Forward-Aware Factor for Wireless Sensor Networks

Cited by 446 publications

References 20 publications

A Research Review on Segmentation Techniques

A Research Review on Segmentation Techniques

Network Service Method under Cloud Environment of Wireless Sensor Networks in Disaster Situation

Event Multiple Influence Calculation and Relationship of Multiple Influence Discovery

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