Energy-efficient secure pattern based data aggregation for wireless sensor networks

Çam, Hasan; Özdemir, Suat; Nair, Prashant; Muthuavinashiappan, D.; Sanli, H. Ozgur

doi:10.1016/j.comcom.2004.12.029

Cited by 130 publications

(30 citation statements)

References 10 publications

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“…SAPC protocol proposed by Bekara, Laurent-Maknavicius [25] is known as a static cluster-based aggregation protocol in which the cluster-head nodes are recognized as the aggregators. ESPDA [26] is another type of cluster-based protocols. It first employs a sleep-active coordination protocol to avoid redundancy in the process of data transmission during intra cluster communication.…”

Section: Dynamic Election In Clustering Schemementioning

confidence: 99%

A Survey on Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Corona-Based Wireless Sensor Network

Asharioun

Asadollahi

Wan

et al. 2014

Wireless Pers Commun

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Wireless sensor networks (WSNs) have attracted much attention in recent years. In the many-to-one WSNs, the nodes located around the sink relay the data from other sensor nodes, which depletes their energy more quickly, resulting in energy holes and hot spot areas. When an energy hole appears, data cannot be sent from other sensors to the sink even though most of the sensors still have energy. In this paper, we generally classified the schemes proposed for solving the energy hole problem. In addition, we investigated the basic mathematical modeling of network connectivity and coverage, energy consideration, and optimum width of coronas in the corona-based WSNs.

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Section: Dynamic Election In Clustering Schemementioning

confidence: 99%

A Survey on Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Corona-Based Wireless Sensor Network

Asharioun

Asadollahi

Wan

et al. 2014

Wireless Pers Commun

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“…Further, the authors introduced a secure differential data aggregation (SDDA) scheme based on pattern codes [91]. SDDA prevents redundant data transmission from sensor nodes by implementing the following schemes: SDDA transmits differential data rather than raw data, SDDA performs data aggregation on pattern codes representing the main characteristics of sensed data, and SDDA employs a sleep protocol to coordinate the activation of sensing units in such a way that only one of the sensor nodes capable of sensing the data is activated at a given time.…”

Section: Protocol Operationsmentioning

confidence: 99%

“…In the downstream stage, two techniques are involved: one-way functions and µTESLA. The SA [9], SIA [10], SINP [88], ESPDA [89,90] SDDA [91], WDA [92] CDA [93], HSC [94] Plaintext-based aggregation…”

Section: Plain-text Based Secure Data Aggregationmentioning

confidence: 99%

A survey of security issues in wireless sensor networks

Wang

Attebury

Ramamurthy

2006

IEEE Commun. Surv. Tutorials

687

383

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IEEE Communications Surveys & Tutorials • 2nd Quarter 2006 2dvances in wireless communication and electronics have enabled the development of low-cost, lowpower, multifunctional sensor nodes. These tiny sensor nodes, consisting of sensing, data processing, and communication components, make it possible to deploy Wireless Sensor Networks (WSNs), which represent a significant improvement over traditional wired sensor networks. WSNs can greatly simplify system design and operation, as the environment being monitored does not require the communication or energy infrastructure associated with wired networks [1].WSNs are expected to be solutions to many applications, such as detecting and tracking the passage of troops and tanks on a battlefield, monitoring environmental pollutants, measuring traffic flows on roads, and tracking the location of personnel in a building. Many sensor networks have mission-critical tasks and thus require that security be considered [2,3]. Improper use of information or using forged information may cause unwanted information leakage and provide inaccurate results.While some aspects of WSNs are similar to traditional wireless ad hoc networks, important distinctions exist which greatly affect how security is achieved. The differences between sensor networks and ad hoc networks are [4]: • The number of sensor nodes in a sensor network can be several orders of magnitude higher than the nodes in an ad hoc network.• Sensor nodes are densely deployed.• Sensor nodes are prone to failures due to harsh environments and energy constraints.• The topology of a sensor network changes very frequently due to failures or mobility.• Sensor nodes are limited in computation, memory, and power resources.• Sensor nodes may not have global identification.These differences greatly affect how secure data-transfer schemes are implemented in WSNs. For example, the use of radio transmission, along with the constraints of small size, low cost, and limited energy, make WSNs more susceptible to denial-of-service attacks [5]. Advanced anti-jamming techniques such as frequency-hopping spread spectrum and physical tamper-proofing of nodes are generally impossible in a sensor network due to the requirements of greater design complexity and higher energy consumption [5]. Furthermore, the limited energy and processing power of nodes makes the use of public key cryptography nearly impossible. While the A YONG WANG, GARHAN ATTEBURY, AND BYRAV RAMAMURTHY UNIVERSITY OF NEBRASKA-LINCOLN ABSTRACTWireless Sensor Networks (WSNs) are used in many applications in military, ecological, and health-related areas. These applications often include the monitoring of sensitive information such as enemy movement on the battlefield or the location of personnel in a building. Security is therefore important in WSNs. However, WSNs suffer from many constraints, including low computation capability, small memory, limited energy resources, susceptibility to physical capture, and the use of insecure wireless communication channels. These constraints ...

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“…However, this scrambling technique increases the complexity of tasks for the base station as it has to aggregate and reorder the incoming data blocks correctly. To address the issue of energy-efficient data aggregation with secure data transmission, an ESPDA (energy-efficient secure pattern-based data aggregation) protocol [6] is proposed. In contrast to the conventional data aggregation protocols, ESPDA avoids the transmission of redundant data from the sensor nodes to the cluster head.…”

Section: Literature Reviewmentioning

confidence: 99%

An Innovative Approach of Blending Security Features in Energy-Efficient Routing for a Crowded Network of Wireless Sensors

Pathan¹

2014

The State of the Art in Intrusion Prevention and Detection

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Energy-efficient secure pattern based data aggregation for wireless sensor networks

Cited by 130 publications

References 10 publications

A Survey on Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Corona-Based Wireless Sensor Network

A Survey on Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Corona-Based Wireless Sensor Network

A survey of security issues in wireless sensor networks

An Innovative Approach of Blending Security Features in Energy-Efficient Routing for a Crowded Network of Wireless Sensors

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