NDLI: A Security Topology Protocol of Wireless Sensor Networks Based on Community Detection and Energy Aware

Content Provider	IEEE Xplore Digital Library
Author	Zuo Chen Mengyuan Jia Yan Wang Xiaolong Yan
Copyright Year	2015
Description	Author affiliation: Inst. of Inf. Eng., Beijing, China (Zuo Chen; Yan Wang) \|\| Coll. of Comput. Sci. & Electron. Eng., Hunan Univ., Changsha, China (Mengyuan Jia; Xiaolong Yan)
Abstract	It is a key problem for reducing the network energy consumption and improving energy utilization of sensor nodes, due to the limited energy of sensor nodes. Because of open, distributed and self-organization characteristics of WSNs, it is vulnerable to the threat of energy in the network topology construction and communication process, but traditional methods which assume the sensor nodes to be credible were unable to cope with the energy attacks. Based on this, this paper proposes a security topology protocol of wireless sensor network named as CDEA according to community detection and energy aware. The method uses complex network community division algorithm for detecting the similar energy behaviour nodes in the neighbourhood of these nodes, and elects the cluster head according to energy, credibility and the distance to the base station, and carries on the choice of the next hop node accessing based on the principle of the immune response and finally gets low power consumption secure topological structure. The experimental results shows that the CDEA not only can reduce and balance the network energy, but also prolong the survival time of the system, and resist the energy attack at the same time.
Starting Page	1284
Ending Page	1291
File Size	319307
Page Count	8
File Format	PDF
e-ISBN	9781467379526
DOI	10.1109/Trustcom.2015.519
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-20
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Energy consumption Immune response Clustering algorithms Complex networks Community detection Energy aware Topology Security Credibility Wireless sensor networkst
Content Type	Text
Resource Type	Article

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