WETX: A weighted expected transmission routing metric for diversity in wireless sensor networks

Moad, Sofiane; Hansen, Morten Tranberg; Jurdak, Raja; Kusý, Branislav; Bouabdallah, Nizar

doi:10.1109/wd.2011.6098162

Cited by 3 publications

(5 citation statements)

References 15 publications

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“…The authors calculated the diversity gain for various off-to on-body channels in different indoor locations, and discussed the impact of variation of interspacing between diversity branch antennas on mutual coupling, correlation, and power imbalance. Moad et al [33] proposed the weighted expected number of transmission metric to evaluate the diversity in wireless sensor networks. It is similar to this paper.…”

Section: G Discussion Of Performance Metricmentioning

confidence: 99%

Multi-Objective Energy Consumption Scheduling in Smart Grid Based on Tchebycheff Decomposition

Zhang

Fei

et al. 2015

IEEE Trans. Smart Grid

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Demand response is an essential issue in smart grid. The central problem is balancing the user cost and the social utility. We focus on the multi-objective energy consumption scheduling problem based on the third-party management. The aim is to provide diverse, uniformly-distributed, and accurate solutions to the third-party decision-maker. The novel contribution of this paper is that it provides an exact choice in energy consumption scheduling. First, we investigate the mathematical model, which dispatches the power consumption for different users in different time slots considering the users' preferences. Then, we propose a matrix-encoding scheme. The energy matrix and the demand matrix are the key factors. The constraints are handled based on the dot product of the two matrixes. In addition, we adopt a scheduling algorithm based on Tchebycheff decomposition. We define several metrics to evaluate the quality of the solutions for the decision-maker. The neighbor generation distance is proposed to reflect the convergence. The metric S and the metric C are used to represent the diversity and coverage, respectively. The metric HV is used to give a comprehensive evaluation. The simulation illustrates that the proposed algorithm outperforms the non-dominated sorting genetic algorithm (NSGA)-II in convergence, diversity, and coverage. It obtains a wider search region at a faster search speed than the NSGA-II algorithm.

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Section: G Discussion Of Performance Metricmentioning

confidence: 99%

Multi-Objective Energy Consumption Scheduling in Smart Grid Based on Tchebycheff Decomposition

Zhang

Fei

et al. 2015

IEEE Trans. Smart Grid

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show abstract

“…When design routing metric, factors which will influence network performance like delay [24,25] , load [26,27] , congestion [28] , interference [4,29] , mobility [30] , security [31,32] , stability [33] , and energy [34] can be considered. As the factors can influence one another, more than one factor like delay, intra-and inter-flow interference can be considered at the same time [35] . When the delay cannot meet the threshold request, transmission rate and power will be reduced.…”

Section: Routing Designmentioning

confidence: 99%

The development of green wireless mesh network: A survey

Chai¹,

Zeng²

2021

JSEGC

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Wireless mesh network (WMN) is a type of self-healing, self-configuration, and peer-to-peer wireless network. Without expensive and fixed base stations, WMN can be established fast, easily, and flexibly at a low cost. The convenience and flexibility of establishing WMN brings a wide range of applications. The request of high bandwidth, high coverage and high transmission rate can be satisfied. Current research on WMN involves routing, resource allocation, mobility control, security and so on. With the increasing concern of green communication, improving energy efficiency is more and more important nowadays. As energy harvesting can overcome energy constraints and extend the network lifetime, it has attracted the great attention from many researchers when designing network. Further, WMN is an important networking mode in next-generation communication to guarantee the quality of service and reduce the networking complexity. Due to such importance, a survey of the research and development in WMN including the future research direction and opportunities is given in this paper.

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“…In our previous works regarding radio diversity, specifically in [2], we focused on how to route packets with an energy efficient way, and in [3] we focused on how to balance energy consumption over the network to extend network lifetime. However, the main difference between this work and the ones in [2] and [3] is that we give a packet priority when routing, so that a node can enable ET X [1] and weighted ET X (W ET X) [2] metrics depending on a traffic class.…”

Section: Related Workmentioning

confidence: 99%

“…However, the main difference between this work and the ones in [2] and [3] is that we give a packet priority when routing, so that a node can enable ET X [1] and weighted ET X (W ET X) [2] metrics depending on a traffic class.…”

Section: Related Workmentioning

confidence: 99%

“…However, to deliver a packet with minimum energy, it is required to take into account the energy cost of transmitting and receiving through a specific link. In our previous works regarding radio diversity, we focused in [2] on how to route packets with an energy efficient way, while in [3] we focused on how to balance energy consumption through the network to extend network lifetime. However, we did not give a packet prioritization when routing.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On balancing between minimum energy and minimum delay with radio diversity for wireless sensor networks

Moad

Hansen

Jurdak

et al. 2012

2012 IFIP Wireless Days

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Abstract-The expected number of transmissions (ET X) metric represents the link quality in wireless sensor networks, which is highly variable for a specific radio and it can influence dramatically both of the delay and the energy. To adapt to these fluctuations, radio diversity has been recently introduced to improve the delivery rate but at the cost of increases in energy for wireless sensor networks. In this paper, we propose a scheme for radio diversity that can balance, depending on the traffic nature in the network, between minimizing the energy consumption or minimizing the end-to-end delay. The proposed scheme combines the benefit of two metrics, which aim separately to minimize the energy consumption, and to minimize delay when delivering packets to the end-user. We show by both analysis and simulation that our proposed scheme can adapt to the type of traffic that can occur in a network so that it minimizes both energy and delay for the respective traffic classes.

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WETX: A weighted expected transmission routing metric for diversity in wireless sensor networks

Cited by 3 publications

References 15 publications

Multi-Objective Energy Consumption Scheduling in Smart Grid Based on Tchebycheff Decomposition

Multi-Objective Energy Consumption Scheduling in Smart Grid Based on Tchebycheff Decomposition

The development of green wireless mesh network: A survey

On balancing between minimum energy and minimum delay with radio diversity for wireless sensor networks

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