Distributed cluster head election algorithm using local energy estimation

Kim, Ki-wook; Kim, Kwang-Ryoul; Min, Sung-Gi

doi:10.1145/1644993.1645042

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…The Global feedback trust computed by (26), as shown at the top of this page, can easily detect malicious nodes in terms of communication if the neighboring nodes report incorrect measure, which improves the efficiency of the trust system. Final trust value (f T…”

Section: ) Ch To CM Feedback Communication Trust (F Cmentioning

confidence: 99%

A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks

et al. 2019

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With the wide applications of wireless sensor networks (WSNs) in various fields, such as environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust establishment among sensor nodes becomes a vital requirement to improve security, reliability, and successful cooperation. The existing trust management approaches for large-scale WSN are failed due to their low dependability (i.e., cooperation), higher communication, and memory overheads (i.e., resource inefficient). In this paper, we propose a novel and comprehensive trust estimation approach (LTS) for large-scale WSN that employs clustering to improve cooperation, trustworthiness, and security by detecting malicious (faulty or selfish) sensor nodes with reduced resource (memory and power) consumption. The proposed scheme (LTS) operates on two levels, namely, intra-cluster and inter-cluster along with distributed approach and centralized approach, respectively, to make accurate trust decision of sensor nodes with minimum overheads. LTS consists of unique features, such as robust trust estimation function, attack resistant, and efficient trust aggregation at the cluster, head to obtain the global feedback trust value. Data trust along with communication trust plays a significant role to cope with malicious nodes. In LTS, punishment and trust severity can be tuned according to the application requirement, which makes it an innovative LTS. Moreover, dishonest recommendations (outliers) are eliminated before aggregation at the base station by observing the statistical dispersion. The theoretical and mathematical validations along with simulation results exhibit the great performance of our proposed approach in terms of trust evaluation cost, prevention, and detection of malicious nodes as well as communication overhead.INDEX TERMS Trust management, data trust, communication trust, attack mitigation.

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Section: ) Ch To CM Feedback Communication Trust (F Cmentioning

confidence: 99%

A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks

et al. 2019

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“…The SSN bus uses carrier sensing multiple access with collision avoidance (CSMA/CA) by electing one device as bus master prior to any data exchange. The leader election problem is addressed in many research areas [18,19,20,21]; our approach relies on lightweight ID bit arbitration. Note that TDMA offers an alternative collision avoidance strategy, but is not appropriate for the SSN bus because: (1) TDMA suffers from a single point of failure, as time slot synchronization requires a shared clock.…”

Section: Introductionmentioning

confidence: 99%

The smart surface network: A bus-based approach to dense sensing

et al. 2015

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We present the Smart Surface Network (SSN), a hardware and software platform designed for dense sensing. Sensor nodes connected to the SSN communicate using a serial bus integrated within a mountable physical surface. The hardware architecture and bus access and communication mechanisms are implemented in a self-stabilizing manner, providing robust handling of unannounced arrivals and departures of network devices. An associated API supports a peer-to-peer communication paradigm, providing access to the physical, data link, and application layers of the bus. In this paper, we describe the SSN hardware architecture and present the bus access and peer discovery algorithms. We also discuss the design of the API and describe experimental results characterizing the fairness of the bus algorithm, the efficiency of the peer discovery algorithm, and the performance of the SSN system under varying load conditions.

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