scholarly journals Cross-Layer Support for Energy Efficient Routing in Wireless Sensor Networks

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
N. Chilamkurti ◽  
S. Zeadally ◽  
A. Vasilakos ◽  
V. Sharma

The Dynamic Source Routing (DSR) algorithm computes a new route when packet loss occurs. DSR does not have an in-built mechanism to determine whether the packet loss was the result of congestion or node failure causing DSR to compute a new route. This leads to inefficient energy utilization when DSR is used in wireless sensor networks. In this work, we exploit cross-layer optimization techniques that extend DSR to improve its routing energy efficiency by minimizing the frequency of recomputed routes. Our proposed approach enables DSR to initiate a route discovery only when link failure occurs. We conducted extensive simulations to evaluate the performance of our proposed cross-layer DSR routing protocol. The simulation results obtained with our extended DSR routing protocol show that the frequency with which new routes are recomputed is 50% lower compared with the traditional DSR protocol. This improvement is attributed to the fact that, with our proposed cross-layer DSR, we distinguish between congestion and link failure conditions, and new routes are recalculated only for the latter.

2012 ◽  
Vol 241-244 ◽  
pp. 837-840 ◽  
Author(s):  
Ming Chen ◽  
Xu Min Xu ◽  
Shao Hui Zhang ◽  
Guo Fu Feng

Energy consumption phenomenon has always been noticed in sink-based wireless sensor networks. This paper explored an energy efficient routing protocol with a mobile sink based on the shortest path data transmission mode. According to the position of the sink node and the common nodes' ID in the network, we calculated the coordinate value of each node in the network. By comparing the coordinate values to choose the shortest path to forward the data. Simulation results show that this method can prolong the lifetime of the network and improve the energy utilization ratio of nodes.


Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1835 ◽  
Author(s):  
Ruan ◽  
Huang

Since wireless sensor networks (WSNs) are powered by energy-constrained batteries, many energy-efficient routing protocols have been proposed to extend the network lifetime. However, most of the protocols do not well balance the energy consumption of the WSNs. The hotspot problem caused by unbalanced energy consumption in the WSNs reduces the network lifetime. To solve the problem, this paper proposes a PSO (Particle Swarm Optimization)-based uneven dynamic clustering multi-hop routing protocol (PUDCRP). In the PUDCRP protocol, the distribution of the clusters will change dynamically when some nodes fail. The PSO algorithm is used to determine the area where the candidate CH (cluster head) nodes are located. The adaptive clustering method based on node distribution makes the cluster distribution more reasonable, which balances the energy consumption of the network more effectively. In order to improve the energy efficiency of multi-hop transmission between the BS (Base Station) and CH nodes, we also propose a connecting line aided route construction method to determine the most appropriate next hop. Compared with UCCGRA, multi-hop EEBCDA, EEMRP, CAMP, PSO-ECHS and PSO-SD, PUDCRP prolongs the network lifetime by between 7.36% and 74.21%. The protocol significantly balances the energy consumption of the network and has better scalability for various sizes of network.


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