On Maximizing Lifetime of a Sensor Cluster

Agnihotri, Samar; Nuggehalli, Pavan; Jamadagni, H. S.

doi:10.1109/wowmom.2005.69

Cited by 10 publications

(22 citation statements)

References 16 publications

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“…For wireless sensor networks, minimizing the energy consumption per packet may not directly translate to the maximization of network lifetime [20]- [24]. This is mainly due to the unevenly distributed traffic pattern and network topology.…”

Section: Maximization Of Network Lifetimementioning

confidence: 99%

“…However, network lifetime has different definitions in different application scenarios. In this paper, we define the network lifetime as the network operation time until the first node drains out its energy, as in [20]- [24].…”

Section: Maximization Of Network Lifetimementioning

confidence: 99%

“…1 There are many different definitions on network lifetime. We adopt this definition, which is one of the frequently used definitions, see e.g., [20]- [24]. This definition is particularly appropriate when a single node failure will be disastrous (for example, reducing network coverage or causing network partition).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks

Zhang

Zhou

Cui

et al. 2008

IEEE Trans. Wireless Commun.

288

196

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Abstract-Cooperative communication with single relay selection is a simple but effective communication scheme for energyconstrained networks. In this paper, we propose a novel selective single-relay cooperative scheme, combining selective-relay cooperative communication with physical-layer power control. Based on the MAC-layer RTS-CTS signaling, a set of potential relays compute individually the required transmission power to participate in the cooperative communication, and compete within a window of fixed length. The "best" relay is selected in a distributed fashion with minimum signaling overhead. We derive power-control solutions corresponding to two policies on relay selection: One is to minimize the energy consumption per data packet, and the other is to maximize the network lifetime. Our numerical and simulation results confirm that the proposed scheme achieves significant energy savings and prolongs the network lifetime considerably.Index Terms-Selective relay cooperation, energy efficiency, wireless sensor networks, power control.

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Section: Maximization Of Network Lifetimementioning

confidence: 99%

Section: Maximization Of Network Lifetimementioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks

Zhang

Zhou

Cui

et al. 2008

IEEE Trans. Wireless Commun.

288

196

View full text Add to dashboard Cite

show abstract

“…Work that is most closely related to this article is by Chou et al [2003], Agnihotri et al [2005], and Scaglione and Servetto [2002]. Chou et al [2003], proposed an approach that combines adaptive signal processing and distributed source coding for sensor nodes in cluster-based WSNs to conserve energy.…”

Section: Related Workmentioning

confidence: 99%

Collaborative broadcasting and compression in cluster-based wireless sensor networks

Hoang

Motani

2007

ACM Trans. Sen. Netw.

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Achieving energy efficiency to prolong the network lifetime is an important design criterion for wireless sensor networks. In this article, we propose a novel approach that exploits the broadcast nature of the wireless medium for energy conservation in spatially correlated wireless sensor networks. Since wireless transmission is inherently broadcast, when one sensor node transmits, other nodes in its coverage area can receive the transmitted data. When data collected by different sensors are correlated, each sensor can utilize the data it overhears from other sensors to compress its own data and conserve energy in its own transmissions. We apply this idea to a class of clusterbased wireless sensor networks in which each sensing node transmits collected data directly to its cluster head using time division multiple access (TDMA). We formulate the problem in which sensors in each cluster collaborate their transmitting, receiving, and compressing activities to optimize their lifetimes. We show that this lifetime optimization problem can be solved by a sequence of linear programming problems. We also propose a heuristic scheme which has low complexity and achieves near optimal performance. Important characteristics of wireless sensor networks such as node startup cost and packet loss due to transmission errors are also considered. Numerical results show that by exploiting the broadcast nature of the wireless medium, our control schemes achieve significant improvement in the sensors' lifetimes.

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“…This makes the problem computationally challenging. We simplify the problem by introducing the notion of instantaneous decoding [8] and thus reduce the optimal rate allocation problem to computing the optimal scheduling order, albeit at some loss of optimality. This loss of optimality occurs because, in general, turning a multiple-access channel into an array of orthogonal channels by using a suitable MAC protocol (TDMA in our case) is wellknown to be a suboptimal strategy, in the sense that the set of rates that are achievable with orthogonal access is strictly contained in the Ahlswede-Liao capacity region [9].…”

Section: System Modelmentioning

confidence: 99%

Enhancing Sensor Network Lifetime Using Interactive Communication

Agnihotri

Nuggehalli

Rao

2007

2007 IEEE International Symposium on Information Theory

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Abstract-We are concerned with maximizing the lifetime of a data-gathering wireless sensor network consisting of set of nodes directly communicating with a base-station. We model this scenario as the m-message interactive communication between multiple correlated informants (sensor nodes) and a recipient (base-station). With this framework, we show that m-message interactive communication can indeed enhance network lifetime. Both worst-case and average-case performances are considered.

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On Maximizing Lifetime of a Sensor Cluster

Abstract: We consider the energy consumed in radio transmission of a set of sensors forming a data gathering wireless network.

Cited by 10 publications

References 16 publications

Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks

Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks

Collaborative broadcasting and compression in cluster-based wireless sensor networks

Enhancing Sensor Network Lifetime Using Interactive Communication

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