Topology Control Made Practical: Increasing the Performance of Source Routing

Topology control for Wireless Sensor Networks (WSN) is a frequently tackled challenge, for which no satisfying general solution for realistic deployments has been found to the current day. Aiding to minimize unnecessary transmissions, it nevertheless represents a crucial function of WSN, in the light of their pursuit of efficiency.kTC is a new WSN topology control that unlike prior art neither relies on location information, nor on complex geometric structures, which could leave doubts about a practical feasibility. Even though location-free approaches have been proposed to circumvent systematic problems, they do not address issues like robustness and adaptability satisfyingly, which may lead to disconnection in real world deployments. kTC is a locationfree approach that adapts topologies dynamically in face of changing environmental influences. It is based on a local, patternbased heuristic, and transmitting only two messages per node to construct the topology it is highly scalable. The graphs kTC creates are symmetric, connected, and planar; they have bounded degree and nodes are θ-separated. Simulative evaluations indicate that kTC outperforms known topology control schemes. A preliminary deployment on a sensor testbed corroborates the obtained results and acts as proof of concept for kTC.

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“…XTC's good performance is evaluated in [2], [23]. By increasing k less edges are removed from the graph.…”

Section: A Ktc Parameter Kmentioning

confidence: 99%

kTC - Robust and Adaptive Wireless Ad-Hoc Topology Control

Schweizer

Wagner

Bradler

et al. 2012

2012 21st International Conference on Computer Communications and Networks (ICCCN)

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“…This separation reduces route failures and packet delay, while increasing the network throughput [21]. Hence, SOFROP is divided into two phases: the first phase concerns about the network organization, where an overlay network is formed and continuously adapted.…”

Section: Self-oriented and Fair Routing Protocolmentioning

confidence: 99%

SOFROP: Self-organizing and fair routing protocol for wireless networks with mobile sensors and stationary actors

Akbaş

Brust

Turgut

2011

Computer Communications

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Abstract-Wireless sensor and actor networks (WSAN) have become increasingly popular in recent years. The cooperative operation between sensor and actor nodes results in a major advantage against pure sensor networks and extends the range of possible application scenarios. One emerging application is the Amazon scenario in which stationary actors are deployed at accessible points in a thick forest structure and sensor nodes are thrown in a river flowing through the forest to gather observations from unreachable areas of the forest. This unprecedented and unique setting exposes two important challenges: (a) the dynamics of the river forms a continuously varying topology of sensor nodes requiring a highly adaptive network organization and (b) the inherent features of sensor and actor nodes, combined with rapid changes in the link structure of the network require efficient bandwidth utilization and data transmission.In this paper, we address these challenges by introducing SOFROP, a novel self-organizing and fair routing protocol for WSANs. The extensive simulations that are carried out for evaluation point out two highlights of SOFROP. These are the lightweight and efficient routing that is optimized for fairness and the locally acting adaptive overlay network formation.

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“…This separation reduces route failures and packet delay, while increasing the network throughput [40]. Hence, SOFROP is divided into two phases: the first phase is concerned with the network organization, where an overlay network is formed and continuously adapted.…”

Section: Self-oriented and Fair Routing Protocolmentioning

confidence: 99%

SOFROP: Self-organizing and fair routing protocol for wireless networks with mobile sensors and stationary actors

Akbaş

Brust

Turgut

2010

IEEE Local Computer Network Conference

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Wireless sensor and actor networks (WSAN) have become increasingly popular in recent years. The combined operation between sensor nodes and actors results in a major advantage compared to pure sensor networks extending the range of possible applications. One of the emerging applications is the Amazon scenario in which stationary actors are deployed at accessible points in a thick forest structure and sensor nodes are thrown in a river flowing through the forest to gather observations from unreachable areas. This unprecedented and unique setting exposes two important challenges: (a) the dynamics of the river forms a continuously varying topology of sensor nodes requiring a highly adaptive network organization and (b) the inherent features of sensor and actor nodes, combined with rapid changes in the link structure of the network requiring efficient bandwidth utilization and data transmission.In this paper, we address these challenges by introducing SOFROP, a self-organizing and fair routing protocol for WSANs. Through extensive simulations, we point out two highlights of SOFROP: the efficient lightweight routing that is optimized for fairness and the locally acting adaptive overlay network formation.

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Topology Control Made Practical: Increasing the Performance of Source Routing

Cited by 17 publications

References 17 publications

kTC - Robust and Adaptive Wireless Ad-Hoc Topology Control

kTC - Robust and Adaptive Wireless Ad-Hoc Topology Control

SOFROP: Self-organizing and fair routing protocol for wireless networks with mobile sensors and stationary actors

SOFROP: Self-organizing and fair routing protocol for wireless networks with mobile sensors and stationary actors

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