2014
DOI: 10.1007/s11277-014-2185-1
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A Cross-Layer Routing Protocol for Balancing Energy Consumption in Wireless Sensor Networks

Abstract: Energy efficiency and load balancing are known to be critical design concerns in routing protocols in wireless sensor networks. We can achieve the first concern by finding the minimum energy path, while the latter, can be achieved by using multiple sub-optimal paths. In this paper, and for this purpose, we propose a routing protocol that exploits interaction between the MAC layer and the network layer. Our proposal is a simple cross-layer routing protocol that enhances the wireless sensor network lifetime by b… Show more

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Cited by 30 publications
(20 citation statements)
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“…This section analyzes the most related work to the proposal of this paper. It first explains such works that are presented in previous studies . Then, it discusses the differences between them and our proposal gives an energy‐efficient object tracking algorithm in WSNs.…”
Section: Related Workmentioning
confidence: 99%
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“…This section analyzes the most related work to the proposal of this paper. It first explains such works that are presented in previous studies . Then, it discusses the differences between them and our proposal gives an energy‐efficient object tracking algorithm in WSNs.…”
Section: Related Workmentioning
confidence: 99%
“…The Cross‐Layer Balancing Routing (CLB Routing) proposed in Yaessad et al balances the energy consumption during routing task to enhance the network lifetime. The CLB Routing algorithm balances energy consumption of sensor nodes by integrating the information obtained from the MAC layer into the routing decision.…”
Section: Related Workmentioning
confidence: 99%
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“…There are lots of researches following O-Aloha scheme in the field of cross-layer design for WSN. [10][11][12][13][14][15][16][17][18] Furthermore, O-Aloha has been successfully adopted in other various wireless networks. [19][20][21][22] In Ho et al, 7,23 a code division multiple access (CDMA)-based MAC protocol is dedicated for WSN-UAV systems.…”
Section: Introductionmentioning
confidence: 99%