New energy saving mechanisms for mobile ad-hoc networks using OLSR

Ghanem, Nabil; Boumerdassi, Selma; Renault, Éric

doi:10.1145/1089803.1090006

Cited by 26 publications

(15 citation statements)

References 2 publications

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“…A combination of both categories is also suggested in other studies. As examples of previous studies under the first category, both [26,27], focus on modifying the MPR selection mechanism of the original OLSR protocol by considering the residual energy levels instead of two-hop neighbors of the node. Furthermore, in [28], authors proposed a Fuzzy logic based on the MPR selection mechanism, called QMPR.…”

Section: Related Workmentioning

confidence: 99%

Multi-criteria based multipath OLSR for battery and queue-aware routing in multi-hop ad hoc wireless networks

2014

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The unbalanced distribution of load among nodes is a critical issue of routing in multi-hop ad hoc wireless networks. The multipath OLSR (MP-OLSR) routing protocol offers an effective solution to the problem by providing multiple paths to the destination. However, in this protocol, there is no simultaneous consideration for energy and QoS metrics to measure the quality of links during route computation. Thus, the failure of node caused by battery depletion restricts its ability to relay packets and degrades the QoS performance of the MP-OLSR. In this paper, we propose a Multipath Battery and Queue Aware-OLSR (MBQA-OLSR) for energy efficient and load-aware routing, to conserve energy, balance load, and improve QoS performance. This was achieved by introducing a new Multi-Criteria Node Rank metric (MCNR), which comprises three node's metrics related to energy and QoS, namely: residual battery, idle time, and queue length, to measure the quality of links between nodes based on a new link cost function, and therefore, selecting the most efficient and reliable paths to the destination. Additionally, an Energy Aware Multi-Point Relay (EA-MPR) mechanism was exploited in the MBQA-OLSR, to select the MPR set, to optimize the topological information flooding according to energy resources and nodes status. The MBQA-OLSR was evaluated under various simulation environments and the results demonstrate its superiority compared with original schemes. It achieved a packet delivery ratio gain up to 54.4 % and significantly reduced the end-to-end delay, number of dead nodes and the energy cost per packet in dense static networks.

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Section: Related Workmentioning

confidence: 99%

Multi-criteria based multipath OLSR for battery and queue-aware routing in multi-hop ad hoc wireless networks

2014

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“…Finally, there are many proposals which try to define an energy efficient routing protocol, capable of routing data over the network and of saving the battery power of mobile nodes (Toh, 2001;Jones et al, 2001;Lindsey et al, 2001;Wan et al, 2001;Kim et al, 2003;Jinet al, 2005;Taddia et al, 2005). Such proposals are often completely new, while others aim to add energy-aware functionalities to existing protocols, like AODV (Senouci & Naimi, 2005;Jung et al, 2005), DSR Luo et al, 2003) and OLSR (Ghanem et al, 2005;Benslimane et al, 2006;Guo & Malakooti, 2007). The aim of energy-aware routing protocols is to reduce energy consumption in transmission of packets between a source and a destination, to avoid routing of packets through nodes with low residual energy, to optimize flooding of routing information over the network and to avoid interference and medium collisions.…”

Section: Energy Saving Techniques At Routing Layermentioning

confidence: 99%

“…In OLSR, for example, the MPR selection mechanism can be varied in an energy-aware way. As suggested in RFC 3626, MPRs can be selected by their residual energy, rather than by their 2-hop neighborhood coverage (Ghanem et al, 2005). Some works applied both techniques (MPR selection criteria modification and path determination algorithm modification) to increase the energy efficiency of OLSR protocol (Benslimane et al, 2006;Kunz, 2008).…”

Section: Proactive Energy-aware Routingmentioning

confidence: 99%

Energy Issues and Energy Aware Routing in Wireless Ad Hoc Networks

Fotino¹,

Rango²

2011

Mobile Ad-Hoc Networks: Protocol Design

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“…Calinescu et al [4] study an approach where the lifetime of the network is maximized taking into account the energy cost to maintain the topology. Closest to the problem studied in this paper is [7], where adjustments are made to the MPR selection algorithm to increase the network lifetime.…”

Section: Network Lifetime Problemmentioning

confidence: 99%