scholarly journals A Message-Optimal Sink Mobility Model for Wireless Sensor Networks

Author(s):  
Aristotelis Giannakos ◽  
Gregory Karagiorgos ◽  
Ioannis Stavrakakis
2010 ◽  
Vol 36 (11) ◽  
pp. 1557-1568 ◽  
Author(s):  
Zhi ZHONG ◽  
Da-Yong LUO ◽  
Shao-Qiang LIU ◽  
Xiao-Ping FAN ◽  
Zhi-Hua QU

2010 ◽  
Vol 36 (11) ◽  
pp. 1557-1568 ◽  
Author(s):  
Zhi ZHONG ◽  
Da-Yong LUO ◽  
Shao-Qiang LIU ◽  
Xiao-Ping FAN ◽  
Zhi-Hua QU

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 256 ◽  
Author(s):  
Haotian Chang ◽  
Jing Feng ◽  
Chaofan Duan

Data forwarding for underwater wireless sensor networks has drawn large attention in the past decade. Due to the harsh underwater environments for communication, a major challenge of Underwater Wireless Sensor Networks (UWSNs) is the timeliness. Furthermore, underwater sensor nodes are energy constrained, so network lifetime is another obstruction. Additionally, the passive mobility of underwater sensors causes dynamical topology change of underwater networks. It is significant to consider the timeliness and energy consumption of data forwarding in UWSNs, along with the passive mobility of sensor nodes. In this paper, we first formulate the problem of data forwarding, by jointly considering timeliness and energy consumption under a passive mobility model for underwater wireless sensor networks. We then propose a reinforcement learning-based method for the problem. We finally evaluate the performance of the proposed method through simulations. Simulation results demonstrate the validity of the proposed method. Our method outperforms the benchmark protocols in both timeliness and energy efficiency. More specifically, our method gains 83.35% more value of information and saves up to 75.21% energy compared with a classic lifetime-extended routing protocol (QELAR).


2021 ◽  
Vol 56 (5) ◽  
pp. 457-463
Author(s):  
Outazgui Saloua ◽  
Fakhri Youssef

This paper aims to present a detailed study of different mobility models applicable for Wireless Sensor Networks (WSN). Wireless Sensor Networks (WSN) have evolved dramatically in mobile networks, providing the key advantage of offering access to information without considering a user's spatial and topological characteristics. Due to the exponential advancement of the Internet and the development of small handheld devices as a source of connectivity and data sharing, the wireless network has almost exploded over the past few years. As a routing protocol for WSN in different studies, the Ad-hoc On-demand Distance-vector routing protocol (AODV) has shown better performance than different routing protocols. It offers quick adaptation to dynamic link conditions, low processing, low memory overheads, and low network utilization. To develop an optimized routing protocol, in our previous work, we had proposed an enhancement of the AODV routing protocol to increase the performance of the classic AODV protocol by optimizing the energy consumption and automatically maximizing the network lifetime. In this paper, we present a detailed study of mobility models applicable for WSN. We describe various mobility models representing mobile nodes whose movements are independent (individual mobility models) and dependent (group mobility models). Furthermore, we will focus on studying the behavior of our optimized version of AODV that we named RE-AODV with different existing mobility models so that we can, in the end, select the best mobility model. In terms of network efficiency, simulation results in this Work demonstrate that the type of mobility model used makes the difference and influences the behavior of nodes.


Sign in / Sign up

Export Citation Format

Share Document