Actuation sensor with adaptive routing and QOS aware checkpoint arrangement on Wireless Multimedia Sensor Network

Vithya, G.; Vinayagasundaram, B.

doi:10.1109/icrtit.2011.5972331

Cited by 14 publications

(14 citation statements)

References 6 publications

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“…This metric represents the energy remaining in a sensor node at a specific time after the network is deployed. Residual energy is used extensively in routing decision [24,25,29,[32][33][34][35][36][37][38][39][40]. It plays a crucial role in load balancing and extending the lifetime of the network.…”

Section: Routing Metrics Associated With Link/path Costmentioning

confidence: 99%

Survey of QoS Routing Protocols in Wireless Multimedia Sensor Networks

Aswale¹,

Ghorpade²

2015

Journal of Computer Networks and Communications

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The emergence of Wireless Multimedia Sensor Networks (WMSNs) has stimulated the refocusing of research from conventional scalar Wireless Sensor Networks (WSNs) to WMSNs. Currently, because of their prevalence WMSNs are used in different applications. Due to the unique features of WMSNs, fulfilling Quality of Service (QoS) requirements for a variety of applications is the challenge. QoS routing is a backbone of WMSNs and plays a vital role in satisfying QoS requirements. The performance of QoS routing depends upon the selection of an optimal path or paths. Path selection is based on evaluation of a cost function using various routing metrics. A careful blend of such metrics in a routing cost function guarantees a committed level of QoS. This survey uses number of routing metrics as criteria for categorizing state-of-the-art QoS WMSNs routing techniques. In addition, open issues and future research directions to further develop efficient routing protocols to guarantee QoS are discussed.

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Section: Routing Metrics Associated With Link/path Costmentioning

confidence: 99%

Survey of QoS Routing Protocols in Wireless Multimedia Sensor Networks

Aswale¹,

Ghorpade²

2015

Journal of Computer Networks and Communications

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“…The distance between neighboring nodes can be estimated on the basis of incoming signal strengths. On the basis of location based protocol, if there is no activity then nodes should go to sleep to save energy [18]. Licensed Under Creative Commons Attribution CC BY traditional navigation methods, because these typically require bulky, expensive, and sophisticated sensors, substantial memory and processor allocation, and a generous power supply.…”

Section: Location-based Networkmentioning

confidence: 99%

Energy Reduction in Mobile WSN using Dynamic Clustering & M-Leach Routing Approach

2015

IJSR

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Wireless sensor network is used for sensing the information from that area which is out of human range. In the mobile wireless sensor network nodes are available in mobility mode. The sensor nodes sense the information by moving from one destination to second. In the whole processing of sensing and transmitting data energy has been consumed. In the purposed work the energy utilization has been reduced by using clustering approach that increase the network life time. In this work mobile leach approach has been utilized for development of clusters in the network. Cluster head selection has been done on the basis of maximum energy. To recover the data recovery node has been initialized that sense the information at an interval of time so that data can be recovered from recovery node at time of failure of any node. On the basis of different parameters performance has been evaluated.

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“…The high demand of WSNs in critical applications such as military, environmental, health and home has resulted in a requirement for effective security mechanisms in order to achieve data confidentiality, integrity and availability . However, achieving effective security solutions with QoS provision in resource‐constrained WSNs is a complicated task .…”

Section: Introductionmentioning

confidence: 99%

“…aggregator node, a cluster head node or a normal sensor node) could create a high risk of compromising the data confidentiality and integrity of the entire WSN. However, the solutions for node capture attacks are very much focused only on the node capture attack and ignored all other interconnected security risks. Similarly, in case of Sybil attacks, a malicious node can claim false identities or impersonate other legitimate nodes in the network, which could disrupt and create problems in routing, data aggregation, voting, resource allocation and misbehaviour detection protocols.…”

Section: Introductionmentioning

confidence: 99%

Component‐based security system (COMSEC) with QoS for wireless sensor networks

Kifayat

Merabti

Shi

et al. 2012

Security Comm Networks

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In the last decade, many security solutions have been proposed to fulfil the security requirements of wireless sensor networks (WSNs). However, these solutions are specifically designed for particular security issues, based on different assumptions, and limited to certain WSNs applications. Can these security solutions work together to handle multiple problems at the same time? It is an interesting and difficult question. We believe good solutions in various security areas do not mean they can work together and deliver similar results, i.e. occurrence of any security weakness or attack in a particular security solution could expose the vulnerabilities of other solutions. Using these solutions together might also degrade WSN quality of service. To deal with the aforementioned issues, we therefore propose a novel component-based security system (COMSEC) based on proactive and reactive components. Each component looks after a particular security issue and is integrated with others. The proposed system provides better secure communication, Sybil attack detection, secure data aggregation and resilience against node capture attacks and replication attacks. COMSEC has been evaluated and compared against existing schemes. Evaluation results show a significant improvement in resilience against node capture attacks, Sybil attack detection data confidentiality, privacy, memory overhead and connectivity.

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Actuation sensor with adaptive routing and QOS aware checkpoint arrangement on Wireless Multimedia Sensor Network

Cited by 14 publications

References 6 publications

Survey of QoS Routing Protocols in Wireless Multimedia Sensor Networks

Survey of QoS Routing Protocols in Wireless Multimedia Sensor Networks

Energy Reduction in Mobile WSN using Dynamic Clustering & M-Leach Routing Approach

Component‐based security system (COMSEC) with QoS for wireless sensor networks

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