Dynamic Software Reconfiguration in Sensor Networks

Kogekar, Sachin; Neema, Sandeep; Koutsoukos, Xenofon

doi:10.1109/icw.2005.44

Cited by 14 publications

(11 citation statements)

References 26 publications

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“…With a centralized run-time reconfiguration approach, such as [Kogekar et al 2004], information on the quality of the network is collected and reconfiguration decisions are made at a central location. The practical applicability of centralized approaches is limited for WSNs that are heterogeneous, require a low overhead and fast response to dynamic changes.…”

Section: Related Workmentioning

confidence: 99%

A Distributed Reconfiguration Approach for Quality-of-Service Provisioning in Dynamic Heterogeneous Wireless Sensor Networks

Steine

Geilen

Basten

2015

ACM Trans. Sen. Netw.

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Wireless Sensor Networks (WSNs) are commonly deployed in dynamic environments where events, such as moving sensor nodes and changing external interference, impact the performance, or Quality-of-Service (QoS), of the network. QoS is expressed by the values of multiple, possibly conflicting, network quality metrics, such as network lifetime and maximum latency of communicating a packet to the sink. A sufficient QoS should be provided by the WSN to ensure that the end-user can successfully use the WSN to perform its application. Current run-time reconfiguration approaches optimize only a single network QoS metric, focus on node quality metrics and/or consider a homogenous configuration. They thereby ignore existing trade-offs between important network QoS metrics, the need for nodes to collaboratively achieve the network QoS or heterogeneity in the network. We propose a distributed reconfiguration approach that actively maintains a sufficient QoS at run-time for a heterogeneous WSN in a dynamic environment. To resolve differences between the current and required QoS of the network, nodes reconfigure themselves by adapting controllable parameters of the protocol stack, such as the transmission power or maximum number of packet retransmissions. They take the opportunities of other nodes affecting the same network QoS metric into account. The behaviour of the reconfiguration approach and the trade-offs involved are analyzed in detail. With the use of simulations and experiments with an actual deployment we show that our approach allows a better optimization of QoS objectives while constraints are met, e.g., it achieves the same packet-loss with a significant longer lifetime, compared to current (re-)configuration approaches.

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Section: Related Workmentioning

confidence: 99%

A Distributed Reconfiguration Approach for Quality-of-Service Provisioning in Dynamic Heterogeneous Wireless Sensor Networks

Steine

Geilen

Basten

2015

ACM Trans. Sen. Netw.

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show abstract

“…Considerable research efforts [7][8][9][10][11][12]4,5,[13][14][15][16][17][18][19][20][21] have been made to develop reconfigurable operating systems for wireless sensor nodes.…”

Section: Related Workmentioning

confidence: 99%

Molecule: An adaptive dynamic reconfiguration scheme for sensor operating systems

Yi¹,

Min²,

Cho³

et al. 2008

Computer Communications

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“…Software can reduce redundancy by compression, data aggregation, and/or message suppression. Kogekar et al (Kogekar et al, 2004) proposed an approach for software reconfiguration in WSNs. The authors modeled the WSN operation space (defined by the WSN software components' models and application requirements) and defined reconfiguration as the process of switching from one point in the operation space to another.…”

Section: Software-based Dynamic Optimizationsmentioning

confidence: 99%