2016
DOI: 10.1016/j.adhoc.2016.05.011
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Low-power neighbor discovery for mobility-aware wireless sensor networks

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Cited by 28 publications
(13 citation statements)
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References 24 publications
(39 reference statements)
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“…With preamble sampling approaches, the transmitter sends some short preambles: the first node waking-up acknowledges the preamble and starts receiving the packet [11]. This concept is quite old and has already been proposed when considering opportunistically the routing and MAC layers together [12], or to allow fast neighbor discovery by mobile nodes with anycast [13]. Unfortunately, this approach does not increase the reliability in synchronized protocols: only one receiver would be awake at a time.…”
Section: B Anycast Transmissionsmentioning
confidence: 99%
“…With preamble sampling approaches, the transmitter sends some short preambles: the first node waking-up acknowledges the preamble and starts receiving the packet [11]. This concept is quite old and has already been proposed when considering opportunistically the routing and MAC layers together [12], or to allow fast neighbor discovery by mobile nodes with anycast [13]. Unfortunately, this approach does not increase the reliability in synchronized protocols: only one receiver would be awake at a time.…”
Section: B Anycast Transmissionsmentioning
confidence: 99%
“…In most MAC protocols intended to handle mobility, mobile nodes aim at establishing communication links with randomly selected next-hop static nodes (e.g., ME-ContikiMAC). Such approaches can lead to increased end-to-end delay and energy consumption due to potentially longer routing paths [14]. Figure 2 illustrates those potential issues.…”
Section: B Challenges Of Random Selectionmentioning
confidence: 99%
“…However, recently other methods have been proposed, such as opportunistic approaches where decisions are made "on the fly" [14][15] [16]. Also, the use of mobility awareness in WSNs where mobility is utilised, has been suggested as a possible approach [17] [18] [19]. In this regard, approaches such as the prediction of mobility patterns of mobile nodes has been proposed in order to improve routing and data delivery in the network [20].…”
Section: Introductionmentioning
confidence: 99%
“…These studies all have validity in terms of network layer packet delivery when a MSN is in use. However, IT is the MAC layer which is responsible for the greatest amount of energy consumption [18]. As such, there is potential in the use of mobility patterns at the MAC layer in relation to channel access, and the duty cycling utilised therein.…”
Section: Introductionmentioning
confidence: 99%