scholarly journals Softwarization in Future Mobile Networks and Energy Efficient Networks

2020 ◽  
Author(s):  
Thembelihle Dlamini
Keyword(s):  
Mobile Networks ◽  
Energy Efficient

Energy-efficient Scalable Self-organizing Routing for Wireless Mobile Networks

2012 ◽  
pp. 390-406
Author(s):  
Melody Moh ◽  
Xuquan Lin ◽  
Subhankar Dhar
Keyword(s):  
Mobile Networks ◽  
Energy Efficient ◽  
Residual Energy ◽  
Medium Access ◽  
Hierarchical Routing ◽  
Time Space ◽  
Power Saving Mode ◽  
Saving Mode ◽  
Hoc Networks ◽  
Self Organizing

The instant deployment without relying on an existing infrastructure makes the mobile ad hoc networks (MANET) an attractive choice for many dynamic situations. An efficient MANET protocol may be applied to other important emerging wireless technologies such as wireless mesh and sensor networks. This chapter proposes a hierarchical routing scheme that is scalable, energy-efficient, and self-organizing. This chapter presents a new algorithm: the Dynamic Leader Set Generation (DLSG). This algorithm dynamically selects leader nodes based on traffic demand, locality, and residual energy level, and de-selects them based on residual energy. Therefore, energy consumption and traffic load are distributed throughout the network. The network also reorganizes itself surrounding the dynamically selected leader nodes. Time, space, and message complexities are formally analyzed; implementation issues are also addressed. Incorporating the IEEE 802.11 medium access control mechanism including the power saving mode, performance evaluation is carried out by simulating DLSG and four existing hierarchical routing algorithms. It shows that DLSG successfully extends network lifetime by 20-50% while achieves a comparable level of network performance.

scholarly journals Energy-Efficient Transmission Strategy by Using Optimal Stopping Approach for Mobile Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Ying Peng ◽  
Gaocai Wang ◽  
Nao Wang
Keyword(s):  
Energy Consumption ◽  
Mobile Networks ◽  
Optimal Stopping ◽  
Energy Efficient ◽  
Transmission Rate ◽  
Optimal Time ◽  
Transmission Strategy ◽  
Channel Quality ◽  
Efficient Transmission ◽  
Rate Threshold

In mobile networks, transmission energy consumption dominates the major part of network energy consumption. To reduce energy consumption for data transmission is an important topic for constructing green mobile networks. According to Shannon formula, when the transmission power is constant, the better the channel quality is, the greater the transmission rate is. Then, more data will be delivered in a given period. And energy consumption per bit data transmitted will be reduced. Because channel quality varies with time randomly, it is a good opportunity for decreasing energy consumption to deliver data in the best channel quality. However, data has delay demand. The sending terminal cannot wait for the best channel quality unlimitedly. Actually, sending terminal has to select an optimal time to deliver data before data exceeds delay. For this, this paper obtains the optimal transmission rate threshold at each detection slot time by using optimal stopping approach. Then, sending terminal determines whether current time is the optimal time through comparing current transmission rate with the corresponding rate threshold, thus realizing energy-efficient transmission strategy, so as to decrease average energy consumption per bit data transmitted.

PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Noor Felemban ◽  
Fidan Mehmeti ◽  
Hana Khamfroush ◽  
Zongqing Lu ◽  
Swati Rallapalli ◽  
...  
Keyword(s):  
Mobile Networks ◽  
Energy Efficient ◽  
Image Search

Energy-Efficient Self-Organizing Routing for Wireless Mobile Networks

2009 ◽  
Vol 5 (4) ◽  
pp. 52-69 ◽  
Author(s):  
Melody Moh ◽  
Rashmi Kukanur ◽  
Xuquan Lin ◽  
Subhankar Dhar
Keyword(s):  
Mobile Networks ◽  
Energy Efficient ◽  
Network Performance ◽  
Power Saving ◽  
Residual Energy ◽  
Traffic Load ◽  
Hierarchical Routing ◽  
Traffic Demand ◽  
Time Space ◽  
Self Organizing

The instant deployment without relying on an existing infrastructure makes mobile ad hoc networks (MANET) a striking choice for many dynamic situations. An efficient MANET protocol may be applied to other important emerging wireless technologies, such as wireless mesh and sensor networks. This article proposes a hierarchical routing scheme that is scalable, energy efficient, and self-organizing. The new algorithm that is discussed in this article is the Dynamic Leader Set Generation (DLSG). This algorithm dynamically selects leader nodes based on traffic demand, locality, and residual energy level, and de-selects them based on residual energy. Therefore, energy consumption and traffic load are balanced throughout the network, and the network reorganizes itself around the dynamically selected leader nodes. Time, space, and message complexities are formally analyzed and implementation issues are also addressed. Incorporating the IEEE 802.11 medium access control mechanism and including the power saving mode, performance evaluation is carried out by simulating DLSG and four existing hierarchical routing algorithms. It shows that DLSG successfully extends network lifetime by 20 to 50% while achieving a comparable level of network performance.

Energy-efficient Scalable Self-organizing Routing for Wireless Mobile Networks

2011 ◽  
pp. 291-307
Author(s):  
Melody Moh ◽  
Xuquan Lin ◽  
Subhankar Dhar
Keyword(s):  
Mobile Networks ◽  
Energy Efficient ◽  
Residual Energy ◽  
Medium Access ◽  
Hierarchical Routing ◽  
Time Space ◽  
Power Saving Mode ◽  
Saving Mode ◽  
Hoc Networks ◽  
Self Organizing

The instant deployment without relying on an existing infrastructure makes the mobile ad hoc networks (MANET) an attractive choice for many dynamic situations. An efficient MANET protocol may be applied to other important emerging wireless technologies such as wireless mesh and sensor networks. This chapter proposes a hierarchical routing scheme that is scalable, energy-efficient, and self-organizing. This chapter presents a new algorithm: the Dynamic Leader Set Generation (DLSG). This algorithm dynamically selects leader nodes based on traffic demand, locality, and residual energy level, and de-selects them based on residual energy. Therefore, energy consumption and traffic load are distributed throughout the network. The network also reorganizes itself surrounding the dynamically selected leader nodes. Time, space, and message complexities are formally analyzed; implementation issues are also addressed. Incorporating the IEEE 802.11 medium access control mechanism including the power saving mode, performance evaluation is carried out by simulating DLSG and four existing hierarchical routing algorithms. It shows that DLSG successfully extends network lifetime by 20-50% while achieves a comparable level of network performance.

Sign in / Sign up

Export Citation Format

Share Document