Weight based adaptive clustering in wireless ad hoc networks

Dhurandher, Sanjay Kumar; Singh, Girdhari

doi:10.1109/icpwc.2005.1431309

Cited by 61 publications

(31 citation statements)

References 13 publications

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“…2". Node with the largest weight value in each level is selected to be a cluster head [4]. The key transmission operation between nodes in the same level subgroup and with nodes in other level subgroups is coordinated by the cluster head.…”

Section: B Constructing and Transmitting Keys Using Cluster Headmentioning

confidence: 99%

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Trust Security Mechanism for Marine Wireless Sensor Networks

Elgenaidi

Newe

2015

Annals of Computer Science and Information Systems

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Abstract-To provide a strong security service in Wireless Sensor Networks (WSNs), cryptographic mechanisms are required. Generally these security mechanisms demand intensive use of limited resource, such as memory, and energy to provide a defense against attacks. Monitoring the behavior of nodes and detecting risks according to these behaviors, and then taking decisions based on these measurements generally requires the use of a trusted Key Management scheme. In this paper we compare two existing security key management schemes that were designed for use in mobile ad hoc networks: "An overlay approach to data security in ad-hoc networks" authored by Jorg Liebeherr, Guangyu Dong, and "A hierarchical key management scheme for secure group communications in mobile ad hoc networks" authored by NenChung Wang, Shian-Zhang Fang. Then a Hybrid Security Key Management Mechanism designed for use in the marine environment is proposed. This scheme focuses on reducing the memory storage of keys, using a leader node that is responsible for both the node joining and the node revoke processes. This security mechanism is implementing in real time on the Waspmote sensor platform.

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Section: B Constructing and Transmitting Keys Using Cluster Headmentioning

confidence: 99%

“…A node leaving of subgroup [4] falls under three cases: the leaving of ordinary nodes, the leaving of L2-heads and the leaving of L1-heads. These cases for each scheme are explained in the section III.…”

Section: B Constructing and Transmitting Keys Using Cluster Headmentioning

confidence: 99%

Trust Security Mechanism for Marine Wireless Sensor Networks

Elgenaidi

Newe

2015

Annals of Computer Science and Information Systems

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“…The simplest one is flooding: flooding small-sized packets in the network is a common practice in routing algorithms such as DSR [21], but induces big overheads for large networks. A second alternative is using knowledge on the geographical position of the nodes-as is the case of geographical routing algorithms [12,35]. Geographical routing algorithms have the default assumption that sensor nodes have a means to determine their locations and usually come with the overhead that the position of the final destination of a message is explicitly included in the message.…”

Section: Related Workmentioning

confidence: 99%

ASH: tackling node mobility in large-scale networks

Pruteanu

Dulman

2012

Computing

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With the increased adoption of technologies like wireless sensor networks by real-world applications, dynamic network topologies are becoming the rule rather than the exception. Node mobility, however, introduces a range of problems (communication interference, path uncertainty, low quality of service and information loss, etc.) that are not handled well by periodically refreshing state information, as algorithms designed for static networks typically do. To address specifically this problem, the main contribution of this paper is the introduction of a novel mechanism (called ASH) for the creation of a quasi-static overlay on top of a mobile topology. It is powered by simple, local interactions between nodes and exhibits self-healing and self-organization capabilities with respect to failures and node mobility. We show that the overlay mechanism works without assumptions about position, orientation, speed, motion correlation, and trajectory prediction of the nodes. A preliminary evaluation by means of simulation shows that ASH succeeds in tackling node mobility, while consuming only minimal resources.

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“…In [6], clustering approach WBACA is presented which is based on the availability of position information via a reliable position locating system, that is, the Global Positioning System (GPS). The weight is decided by a generalized formula that take into account : transmission rate, transmission power, battery power, mobility and degree.…”

Section: Related Workmentioning

confidence: 99%

Efficient Clustering with Proposed Load Balancing Technique for MANET

Kaur¹,

Kumari²

2015

IJCA

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In this paper, an efficient and modified load balancing algorithm is proposed. This paper shows the results of the proposed energy aware load balancing algorithm. Global reclustering is initiated when the network becomes significantly unbalanced i.e. if the variance of degree of the cluster heads in the network is greater than a pre-determined threshold. Degree of all cluster heads would be required at a single node to evaluate the average of degree of all cluster heads in the network and subsequently the variance among themselves, which is not possible in adhoc network because of its distributed nature. For this, a formula is derived in which variance can be updated at each hop i.e. variance of N nodes can be expressed in terms of variance of (N-1) nodes and average of (N-1) nodes. The results of simulation indicate that compared with the load balanced routing algorithm DEECA, the proposed algorithm increased the network lifetime, packet delivery ratio at different traffic.

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Weight based adaptive clustering in wireless ad hoc networks

Cited by 61 publications

References 13 publications

Trust Security Mechanism for Marine Wireless Sensor Networks

Trust Security Mechanism for Marine Wireless Sensor Networks

ASH: tackling node mobility in large-scale networks

Efficient Clustering with Proposed Load Balancing Technique for MANET

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