Deployment guidelines for achieving maximum lifetime and avoiding energy holes in sensor network

Liu, Anfeng; Jin, Xin; Cui, Guohua; Chen, Zhigang

doi:10.1016/j.ins.2012.12.037

Cited by 123 publications

(121 citation statements)

References 33 publications

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“…To further analyze the performance of SNAA on energy balance as well as the execution efficiency, we compare it with the other two energy hole mitigating methods in [4] and [29], respectively. Values of parameters used in these experiments are shown in Algorithm 1 and Table 3, while = 50%.…”

Section: Comparison With Other Energy Hole Mitigating Methodsmentioning

confidence: 99%

“…This is because each active node in SNAA collects, sends, and receives data synchronously in , which ensures that the energy consumption values about them are nearly the same. Although the algorithms in [4,29] could also mitigate the energy hole problem, their residual energy decreases a little faster than SNAA. Furthermore, it is known that the network lifetime in [4,29] is 1600 and 1200 rounds, respectively, which is also shorter than SNAA.…”

Section: Comparison With Other Energy Hole Mitigating Methodsmentioning

confidence: 99%

“…Similar to [4,29], the circular network is divided into virtual concentric annuluses with the same width , as shown in Figure 3. Node in the th annulus uploads its data to the parent in the ( − 1)th annulus in one hop.…”

Section: Multihop Data Transmission Mode In Wsnsmentioning

confidence: 99%

“…And on the basis of synchronization of nodes between adjacent annuluses during their transmitting and receiving phases, a sleep scheduling strategy is also proposed to further reduce the energy consumption of nodes in idle listening mode. Simulation results show that SNAA has a superior performance on energy consumption balance compared to the algorithm proposed (Liu et al, 2013;Wu et al, 2008) and it could also mitigate the energy hole problem in WSNs. …”

mentioning

confidence: 92%

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A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network

Sha

Chen

et al. 2016

International Journal of Distributed Sensor Networks

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For the purpose of balancing energy consumption of nodes in Wireless Sensor Networks (WSNs for short), a type of energy hole avoiding method based on synchronization of nodes in adjacent annuluses (SNAA for short) is proposed in this paper. The circular network is divided into virtual annuluses with the same width. Nodes are deployed nonuniformly and their number increases in geometric progression from the outer annuluses to the inner ones which could effectively reduce the work load on nodes near the center. Moreover, each node could find its optimal parent by considering the residual energy of each candidate as well as the distance between the two nodes in adjacent annuluses. And on the basis of synchronization of nodes between adjacent annuluses during their transmitting and receiving phases, a sleep scheduling strategy is also proposed to further reduce the energy consumption of nodes in idle listening mode. Simulation results show that SNAA has a superior performance on energy consumption balance compared to the algorithm proposed (Liu et al., 2013;Wu et al., 2008) and it could also mitigate the energy hole problem in WSNs.

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Section: Comparison With Other Energy Hole Mitigating Methodsmentioning

confidence: 99%

Section: Comparison With Other Energy Hole Mitigating Methodsmentioning

confidence: 99%

Section: Multihop Data Transmission Mode In Wsnsmentioning

confidence: 99%

mentioning

confidence: 92%

See 2 more Smart Citations

A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network

Sha

Chen

et al. 2016

International Journal of Distributed Sensor Networks

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“…But if the number of actor nodes deployed in the terrain is not large enough, this causes the actor network topology becomes sparse and achieving effective AAc becomes an important problem [1][2][3]. In order to heal the partitions in the actor network, using the sensor nodes to support the communication among actors could be a reasonable solution [28][29][30][31][32][33][34][35]. When the actor cannot communicate with other actors through AAc, it could forward its data to the sensor nodes, and uses the sensor nodes to relay its data to the target actor [35][36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Bridging the gap among actor–sensor–actor communication through load balancing multi-path routing

Long

Gao

et al. 2015

J Wireless Com Network

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Wireless sensor actor networks (WSANs) consist of a large amount of sensor nodes with low cost and little actor nodes with better processing capabilities. The actor nodes tend to get partitioned due to low actor density in case of economic considerations. So, the communication among actors requires sensor nodes to relay his data to the destination actor which lead to the bottleneck in communication. A high-throughput disjoint multi-path (HTDM) routing scheme is proposed in this paper which allows actor simultaneously forwards data through multiple disjoint paths to achieve high throughput. HTDM routing scheme can quickly establish multiple disjoint routing paths, which can increase the throughput among actors a lot, and the routing path can be adjusted dynamically according to the energy status of their nodes, which can achieve load balancing. Simulation results show that, compared with related routing schemes, HTDM routing scheme can achieve higher throughput performance and distribute transmission loads more evenly to most of the nodes in the network.

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Data reduction and recovery in wireless communication system: An extensive experimental evaluation using PSK and QAM modulations

Panem

Vetrekar

Gad

2022

Int J Communication

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Summary The evolution of technologies in data communication system has resulted in generation of large data. With the availability of limited bandwidth and to maintain the energy efficiency of the wireless communication system, data reduction plays a significant amount of role in preserving the lifetime of wireless communication system. Considering the significance of this problem in wireless communication system, in this work, we present data reduction and recovery or reconstruction on multivariate data using principal component analysis (PCA). In general, we send the eigen coefficients from the source and use these coefficients at the destination to recover or reconstruct the original data back in wireless communication system. We employ in our work two different digital modulation techniques such as phase‐shift keying (PSK) and quadrature amplitude modulation (QAM) with seven different bit rate to demonstrate our approach. We carry the experiments independently using five different signal ensemble and four different multiple‐input, multiple‐output (MIMO) configuration along with Rayleigh fading. This work presents an extensive simulated benchmark results based on performance matrix such as root mean square error (RMSE) and bit error rate (BER) at different values of signal‐to‐noise ratio (SNR). We further validate our approach by presenting synthesis of our proposed model using Xilinx target device Virtex‐6 LX240T Field Programmable Gate Array (FPGA). The experimental results reported based on simulation, synthesis, and validation of model demonstrate the applicability of our proposed approach in real‐time scenario.

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Deployment guidelines for achieving maximum lifetime and avoiding energy holes in sensor network

Cited by 123 publications

References 33 publications

A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network

A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network

Bridging the gap among actor–sensor–actor communication through load balancing multi-path routing

Data reduction and recovery in wireless communication system: An extensive experimental evaluation using PSK and QAM modulations

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