Trust Based Secure In-network Data Processing Schema in Wireless Sensor Networks

Feng, Hailin; Li, Guanghui; Lu, Wenwei; Huang, Leijun

doi:10.4304/jnw.6.2.295-302

Cited by 5 publications

(10 citation statements)

References 8 publications

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“…For example, regarding the reputation fusion, some literatures such as [21,24,26,29,35,36] use both direct reputation and indirect reputation, while others like [30,31,33,41,42,43] only apply direct reputation. For another example, as is shown in Table 1, on the reputation aging, among the literatures that apply direct reputation and/or indirect reputation, only a few of them such as [21,24,25,33] use the reputation aging, while other literatures ignore it for no reason. Besides, by using the concept of binomial reputation, energy reputation [36,37], communication reputation [25,34,35,36,37], and data reputation like [30,34,41,42,59] and so on are introduced so as to save individual node energy and ensure the reliable communication and data transmission.…”

Section: Reputation Agingmentioning

confidence: 99%

“…For another example, as is shown in Table 1, on the reputation aging, among the literatures that apply direct reputation and/or indirect reputation, only a few of them such as [21,24,25,33] use the reputation aging, while other literatures ignore it for no reason. Besides, by using the concept of binomial reputation, energy reputation [36,37], communication reputation [25,34,35,36,37], and data reputation like [30,34,41,42,59] and so on are introduced so as to save individual node energy and ensure the reliable communication and data transmission. Further, penalty and reward mechanisms [43], light computational complexity such as [21,24,26,27], and energy issues like [43,44,76] and so on are also considered in order to stimulate node cooperation, avoid running complex algorithms, and balance the energy consumed in the network.…”

Section: Reputation Agingmentioning

confidence: 99%

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Binomial Distribution Based Reputation for WSNs: A Comprehensive Survey

2021

KSII TIIS

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Section: Reputation Agingmentioning

confidence: 99%

Section: Reputation Agingmentioning

confidence: 99%

Binomial Distribution Based Reputation for WSNs: A Comprehensive Survey

2021

KSII TIIS

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“…The interference over node is got from the Beacons sent by neighbors. We assume that antennas can detect the signal power sending from neighbors and the distance can be derived with some simple calculations according to the Equation (2) and (3).…”

Section: B Data Processingmentioning

confidence: 99%

“…We generate 5 to 25 CBR multihop flows. The flow weights are randomly assigned in the range of [1,3]. The sources and destinations of these flows are randomly selected.…”

Section: A System Setupmentioning

confidence: 99%

“…Wireless sensor network is a novel decentralized wireless network with no pre-existing fixed infrastructure, limited calculation resource and dynamic topology [1,2]. It plays an important role in emergency network deployment [3], which is an interconnected set of sensor nodes that monitor and collect information about the environment and transmit the collected data to another location for processing and interpretation. Energy is a scarce resource in WSNs [4].…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Data Processing Scheme in Sensor Networks

Ouyang¹

2013

JNW

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Data Processing is an important issue in wireless sensor networks (WSNs). However, constrained energy will lead to the network life deeply affected by the power consumption of data processing. Hence, reducing the power consumption becomes an important objective to improve the performance of WSNs. In this paper, an energy-efficient data processing scheme (EED) is proposed to reach the goal of saving energy, which embeds the active energy saving approach of tuning data transmission power into the fairness queuing algorithm. Hence, in the proposed EED, the energy saving scheme in the system can find out the data deliver sequence with the minimum power consumption. Detailed simulation results show that, compared with existed schemes, the proposed EED can reduce the power consumption of transmission with consideration of the packet deliver sequence, which also improve the performance in terms of network lifetime, power consumption, fairness and throughput.

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