Implementing clock synchronization in WSN: CS-MNS vs. FTSP

Kunz, Thomas; McKnight-MacNeil, Ereth

doi:10.1109/wimob.2011.6085410

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…The FTSP this paper mentioned (Flooding Time Synchronization Protocol) is proposed by Branislav Kusy of Vanderbilt University firstly [24]. FTSP method realizes time synchronization between sender and receiver by single broadcast message [25][26][27][28]. In considering several requirements in practical application, this paper improved the method, and realizes the time synchronization requirements of multi-hop network nodes.…”

Section: Figure 1 Sending and Receiving Delay Flow Chartmentioning

confidence: 99%

Energy-balanced Time Synchronization Algorithm Based on Flooding for Multi-hop Wireless Sensor Networks

Wang¹

2015

IJUNESST

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Section: Figure 1 Sending and Receiving Delay Flow Chartmentioning

confidence: 99%

Energy-balanced Time Synchronization Algorithm Based on Flooding for Multi-hop Wireless Sensor Networks

Wang¹

2015

IJUNESST

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“…Once the validity period is over, the key is deleted and the node becomes keyless. Clock running in an individual node ideally should be in sync with the KMS [22]. This is required to ensure that a session expires at about the same time, both in a node and in the KMS.…”

Section: Session Expirymentioning

confidence: 99%

SPIKE: A novel session key management protocol with time-varying secure cluster formation in wireless sensor networks

Sanyal¹

2013

2013 Eleventh Annual Conference on Privacy, Security and Trust

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In this paper we propose Symmetric Parallel Immalleable Key Establishment (SPIKE), a novel session key distribution protocol for Wireless Sensor Networks (WSN). In the protocol, each node before being deployed sets up a secret key with a central Key Management Server (KMS). After deployment, when a node wants to initiate a secure session with another node, both nodes, in parallel, turn to KMS for mutual authentication. The symmetric authentication steps are designed carefully to thwart several types of security breaches present in WSN environment such as Man-in-theMiddle attack, Replay attack, Amplification attack, Sybil attack, Denial of Service (DoS) attack.After verification, KMS generates and dispatches the session key to both nodes, simultaneously. Each session key is valid for a certain period. Later when a node wants to communicate with another node which is already part of some secure communication group, KMS includes the new node also in the same session. This incrementally builds up a group of nodes forming a connected component of the original network graph, all sharing the same session key.In terms of the key storage requirement per node, exactly one session key needs to be maintained in a node at any given instance. This is independent of the network size and the number of concurrent sessions active on that node. In the server side too, session key maintenance overhead becomes minimal as the protocol assigns the same key to all the nodes belonging to a connected component.

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“…Also, TinyOS has the FTSP [66] synchronization protocol integrated. A particular example, among others, of the synchronization algorithm that works with TinyOS, is the Clock Sampling Mutual Network Synchronization (CS-MNS) [97]. However, there are also many protocols implemented on FreeRTOS [98].…”

Section: Software Abstractionmentioning

confidence: 99%

Methodology for implementation of synchronization strategies for wireless sensor networks

Andrés¹

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Over the last few years, we have seen and are experiencing how wireless communication devices are changing from being something exceptional to being commonplace in our daily lives. Advances in wireless communications, the miniaturization of electronic devices and the increasing capabilities of these devices have made wireless networks a very common resource in the industry and consumer electronics. Wireless Sensor Networks (WSNs) are spatially distributed sensors that monitor physical or environmental conditions and share their data over the network. WSNs are also characterized by the limitation of their resources as the need for low power consumption as they usually run on batteries, the need for low cost, or its low data throughput, among others. That is why in WSNs the resolution of some problems already solved in wired networks becomes a challenge, such as the implementation of time synchronization strategies.This time synchronization is necessary for the successful operation of many applications based on WSNs, but each node is independent and has its own clock source. Therefore, it is not enough to synchronize the clocks of the different nodes at the beginning of the application because many factors can cause them to be out of sync, for example, the frequency of oscillation of the clock sources may be slightly different, temperature changes, battery status, etc.Besides, the level of demand on time synchronization in WSNs depends on the type of application. There is a wide variety of applications in WSNs: applications that attempt to merge data from all nodes to obtain an overall picture of the scenario, applications that seek to develop communication strategies by making use of the medium access control layer, or applications that need to coordinate actions among all nodes to carry out cooperative tasks. Each application may have different requirements in terms of time synchronization that may range from very lax requirements, where several seconds offsets are allowed, too much more demanding requirements. It should also be noted that each developer may use a different hardware platform with different resources.When developers of applications for WSNs want to implement a synchronization strategy for their system they face all the above issues when making their decision. Today this decision was made by developing their own synchronization protocol or by adapting an already created protocol to their needs. After the state-of-the-art review carried out, it has been proven that no methodology helps the developer to decide to choose a synchronization protocol for WSNs that is adapted to the specific needs of each case.That is why this Doctoral Thesis has been developed in order to implement a methodology for the implementation of synchronization strategies for wireless sensor networks.

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Implementing clock synchronization in WSN: CS-MNS vs. FTSP

Cited by 6 publications

References 6 publications

Energy-balanced Time Synchronization Algorithm Based on Flooding for Multi-hop Wireless Sensor Networks

Energy-balanced Time Synchronization Algorithm Based on Flooding for Multi-hop Wireless Sensor Networks

SPIKE: A novel session key management protocol with time-varying secure cluster formation in wireless sensor networks

Methodology for implementation of synchronization strategies for wireless sensor networks

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