Power Aware Smart Routing in Wireless Sensor Networks

Hey, Laurence

doi:10.1109/ngi.2008.33

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…Hence, CRE can be viewed as a SDN-compatible version of CPN and can be used with the large number of SDN-enabled switches that has already been deployed. CPN has been used successful in various settings [12], for e.g., traffic engineering [13], routing in wireless [14] and sensor [15] networks and defence against Denial-of-Service (DoS) attacks [16].…”

Section: Related Workmentioning

confidence: 99%

Towards a cognitive routing engine for software defined networks

Francois

Gelenbe

2016

2016 IEEE International Conference on Communications (ICC)

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In Software Defined Networks (SDN), intensive traffic monitoring is used to optimize the Quality-of-Service (QoS) of the network paths which are selected. Thus, we introduce the use of the Cognitive Packet Network (CPN) algorithm to SDN in order to optimize the search for new high-QoS paths. We install the CPN algorithm in the Cognitive Routing Engine (CRE), a new application software for SDN, and show that with limited monitoring overhead we are able to determine the near-optimal paths for given QoS metrics that may be proposed by the end users. Measurements that we have conducted on an experimental replica of the GEANT network that our approach uses close to 10 times less monitoring data than conventional SDN, but that we are able to approach the optimal paths within 2%

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Section: Related Workmentioning

confidence: 99%

Towards a cognitive routing engine for software defined networks

Francois

Gelenbe

2016

2016 IEEE International Conference on Communications (ICC)

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“…It would be possible to update the RRR priorities dynamically if this list were long enough to keep this information for the time required for the packet to reach one of the data sinks, have that sink evaluate the quality performance of the packet, and subsequently reply with an acknowledgement packet which would use the previous hops from the list to traverse the reverse route back to the source. Indeed, this method was used for forwarding the acknowledgement packets in the authors' tinyCPN routing protocol [25].…”

Section: Determining Priorities Onlinementioning

confidence: 99%

Adaptive packet prioritisation for large wireless sensor networks

Hey

Gelenbe

2010

Telecommun Syst

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Large wireless sensor networks consisting of hundreds of devices are often used to conduct distinct monitoring tasks simultaneously. Furthermore, the significant events that can be detected by the network may be detected in many different parts of the network. As a consequence, these multiple tasks and diverse events may also cause resource contention and degradation of network quality of service. For instance, congestion created by regularly occurring events which do not need urgent forwarding to the monitoring centres may create delays for other events which need to be reported very rapidly. The Random Re-Routing (RRR) protocol for wireless sensor networks has therefore been proposed to adaptively prioritise the packets of certain urgent events above those of other less urgent events which may be of a more routine nature. In this paper we extend the RRR protocol to improve performance, and we use simulation experiments to illustrate heuristic algorithms for matching routing priorities to the requirements of the sensor network's monitoring tasks. The approaches are based on selecting the protocol's parameters prior to network deployment, and on using an acknowledgement mechanism for adapting the parameters during network operation.

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“…Wireless sensor networks consist of many devices of limited energy, memory and processing capabilities. The author of [50] proposed a simplified CPN-based routing protocol for sensor motes. This scheme uses smart routing in order to minimize the transmission power use and also enables on-line aggregation of data based on the locality of motes.…”

Section: Cpn In Sensor Networkmentioning

confidence: 99%

The Cognitive Packet Network: A Survey

Sakellari

2009

The Computer Journal

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Current and future multimedia networks require connections under specific quality of service (QoS) constraints which can no longer be provided by the best-effort Internet. Therefore, 'smarter'networks have been proposed in order to cover this need. The cognitive packet network (CPN) is a routing protocol that provides QoS-driven routing and performs self-improvement in a distributed manner, by learning from the experience of special packets, which gather on-line QoS measurements and discover new routes. The CPN was first introduced in 1999 and has been used in several applications since then. Here we provide a comprehensive survey of its variations, applications and experimental performance evaluations.

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Power Aware Smart Routing in Wireless Sensor Networks

Cited by 11 publications

References 13 publications

Towards a cognitive routing engine for software defined networks

Towards a cognitive routing engine for software defined networks

Adaptive packet prioritisation for large wireless sensor networks

The Cognitive Packet Network: A Survey

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