Performance evaluation of selective and adaptive heads clustering algorithms over wireless sensor networks

Darabkh, Khalid A.; Ismail, Shereen; Al-Shurman, Mohammad; Jafar, Iyad F.; Alkhader, Eman; Al-Mistarihi, Mamoun F.

doi:10.1016/j.jnca.2012.08.008

Cited by 71 publications

(38 citation statements)

References 35 publications

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“…Firstly, sensor devices have the capability of communicating with each other and the base station up to the end control operator or the administrator (Darabkh et al, 2012;Ismail et al, 2016;Ramadan and El-Rewini, 2009). Generally, WSN is a network that is formed when a set of intelligent sensor nodes are deployed randomly or manually in a physical environment to observe an event of interest.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

“…Basically, current WSNs consist of hundreds or thousands of intelligent tiny sensor nodes deployed uniformly or randomly over certain geographical area (Darabkh et al, 2012). Typically, these nodes deliver their sensed data collaboratively to a base station then the aggregated data to the main control operator room for further processing and data analysis.…”

Section: Introductionmentioning

confidence: 99%

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Prison Perimeter Surveillance System Using WSN

Ismail

Alkhader

Ahmad

2017

Journal of Computer Science

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The aim of this paper is to introduce a prison hybrid surveillance system using two main technologies; Wireless Sensor Network (WSN) and Unmanned Aerial Vehicles (UAVs). The system consists of three tiers; Wireless Underground Sensor Network (WUSN) in tier 0, Wireless Ground Sensor Network (WGSN) in tier 1 and Wireless Vision Sensor Network (WVSN) in tier 2 that consists of surveillance towers and Unmanned Aerial Vehicles (UAVs) equipped with multimedia sensors. Those three tiers are independent in operation and can complement one another in functionality. Such a design that utilizes the most advanced technologies proves performance in flexibility, scalability and hierarchical surveillance for a high security prison or any other military site.

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Section: Brief Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prison Perimeter Surveillance System Using WSN

Ismail

Alkhader

Ahmad

2017

Journal of Computer Science

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“…In [4], a cluster based target tracking technique for WSN is proposed. The target tracking accuracy rate and energy efficiency are claimed to be greater.…”

Section: Review Of Literaturementioning

confidence: 99%

Cluster Based Trustable Target Detection and Tracking Scheme for Wireless Sensor Networks

Jehan¹,

Punithavathani²

2016

IJIES

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Abstract:This article intends to present a Cluster based Trustable Target Detection and Tracking Scheme (CTTDTS) for Wireless Sensor Network (WSN). The entire network area is segregated into numerous equal sized grids and each grid acts as a cluster. All the grids are populated with equal count of nodes. A predominant node is elected for each grid by means of trust degree, which is computed by the Dempster Shafer theory. The predominant node fixes the minimal count of active nodes per grid and controls the activity of the nodes. The predominant node along with the active nodes detects and tracks the target. Besides this, the predominant node alerts the neighborhood clusters through which the target may traverse. The network lifetime is considerably enhanced by employing job cycle scheduling and clustering technique. The experimental results prove the efficacy of the proposed approach in terms of detection accuracy, energy consumption and network lifetime.

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“…and report the collected data to the sink station by using multi-hop wireless communications. The clustering concept, that means grouping nodes which are close to each other, has been studied largely in ad-hoc networks [2,3,4,5,6,7,8] and recently in WSNs [9,10,11,12,13] where the purpose in general is to reduce useful energy consumption and routing overhead, however, cluster-heads must be selected carefully and diligently. Recent research studies recognize that organizing mobile WSNs, in the sense defined above, into clusters by using a clustering mechanism is a challenging task [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, a CH can be selected by computing quality of nodes, which may depend on several metrics: connectivity degree, mobility, residual energy and distance of a node from its neighbors. Significant improvement in performance of this quality can be achieved by combining these metrics [2,3,8,9,13,14].…”

Section: Introductionmentioning

confidence: 99%