Path Renewal Method in Filtering Based Wireless Sensor Networks

Kim, Jin Myoung; Han, Young Ho; Lee, Hae Young; Cho, Tae Ho

doi:10.3390/s110201396

Cited by 9 publications

(10 citation statements)

References 11 publications

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“…However, in the presence of heavy traffic, favorite paths for data routing may emerge with heavy traffic on them, and the selection of paths leads to uneven energy consumption. The path renewal method in [60] proposes that an intermediate node on a routing path can renew its upstream path by considering its energy status and the degree of communication traffic it receives. However, such a path renewal proposition is based on the hypothesis that any super-node having a greater number of sub-nodes consumes more energy than measuring the actual amount of data it receives and forwards.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Akram

Cho

2017

Symmetry

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Abstract:Wireless sensor networks are supplied with limited energy resources and are usually installed in unattended and unfriendly environments. These networks are also highly exposed to security attacks aimed at draining the energy of the network to render it unresponsive. Adversaries launch counterfeit report injection attacks and false vote injection attacks through compromised sensor nodes. Several filtering solutions have been suggested for detecting and filtering false reports during the multi-hop forwarding process. However, almost all such schemes presuppose a conventional underlying protocol for data routing that do not consider the attack status or energy dissipation on the route. Each design provides approximately the equivalent resilience in terms of protection against compromised node. However, the energy consumption characteristics of each design differ. We propose a fuzzy adaptive path selection to save energy and avoid the emergence of favored paths. Fresh authentication keys are generated periodically, and these are shared with the filtering nodes to restrict compromised intermediate filtering nodes from the verification process. The scheme helps delay the emergence of hotspot problems near the base station and exhibits improved energy conserving behavior in wireless sensor networks. The proposed scheme provides an extended network lifetime and better false data filtering capacity.

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Section: Related Workmentioning

confidence: 99%

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Akram

Cho

2017

Symmetry

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“…In the Path Renewal Method in Filtering-based WSNs [14], the authors enhanced SEF by providing load balance in terms of energy consumption. A node can renew its path based on the remaining energy and traffic load.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition to having their distinct limitations, these schemes do not consider further enhancing the network lifetime and/or energy efficiency by improving the underlying routing. Some recent methods address the limitations of the existing security protocols [7,8,[13][14][15]. Some papers explore extending the network lifetime by considering the residual energy, cluster size, and data aggregation [9,10,12,16,18].…”

Section: Introductionmentioning

confidence: 99%

Extending the network lifetime by pre-deterministic key distribution in CCEF in wireless sensor networks

Shahzad

Cho

2015

Wireless Netw

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Balancing energy usage over a larger group of participating nodes in a sensor network extends the network's lifetime. Security protocols mainly focus on saving energy through early filtering of attacks; however, this does not necessarily prolong the network lifetime. In order to save more energy and extend the network lifetime, the underlying routing is equally important. Security protocols such as commutative cipher en-route filtering (CCEF), which considers shortest path routing, do not take advantage of the opportunity to save more energy by considering an energy efficient underlying routing at the design level. In this paper, we propose pre-deterministic key-distribution based CCEF (PKCCEF), which extends the network life significantly through pre-deterministic and random distribution of the witness keys with a modified underlying routing that considers the residual energy. For high FTR, our method selects a path with more filtering nodes to be able to detect more attacks. This needs further verification for legitimate reports and needs more energy as compared to original method, but it can save energy by filtering fabricated or false report earlier. For low FTR, our method selects an energy efficient path with fewer verifications of legitimate reports. Independent of the number of attacks, our method extends the network lifetime as compared to the original method i.e. CCEF. Our method achieves energy efficiency without compromising the security of the original scheme. The results show the effectiveness of the proposed method in terms of the energy efficiency (up to 16.05 %) and extending the network lifetime (up to 84.01 %).

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“…In PSM, each node determines a secure path using the partition ID information for its own node in the control message. To increase network lifetime and to distribute communication traffic more effectively, the path renewal method (PR-M) [8] was proposed. The method checks the remaining energy in the network and ensures balanced energy consumption in each node.…”

Section: Introductionmentioning

confidence: 99%

Secure Path Cycle Selection Method Using Fuzzy Logic System for Improving Energy Efficiency in Statistical En-Route Filtering Based WSNs

Nam¹,

Sun²,

Cho³

2011

WSN

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Sensor nodes are easily compromised to malicious attackers due to an open environment. A false injected attack which takes place on application layer is elected by the compromised node. If the false report arrives in a base station, a false alarm is occurred, and the energy of the nodes is consumed. To detect the false report, statistical en-route filtering method is proposed. In this paper, we proposed the secure path cycle selection method using fuzzy rule-based system to consume effective energy. The method makes balanced energy consumption of each node. Moreover, the lifetime of the whole network will be increased. The base station determines the path cycle using the fuzzy rule-based system. The performance of the proposed method is demonstrated using simulation studies with the three methods

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Path Renewal Method in Filtering Based Wireless Sensor Networks

Cited by 9 publications

References 11 publications

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Extending the network lifetime by pre-deterministic key distribution in CCEF in wireless sensor networks

Secure Path Cycle Selection Method Using Fuzzy Logic System for Improving Energy Efficiency in Statistical En-Route Filtering Based WSNs

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