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Numerous schemes that consider the offered load and corresponding accuracy have been developed in order to adapt the beacon rate according to the traffic situation [14].
The study in [14] analyzes the effects of adapting the beacon rate with respect to reduced accuracy and changing the offered load.
In this paper, we describe beaconing rate control approach with an one-dimensional Markov model, and based on this, an optimized beacon rate control scheme is proposed which aims to mitigate the congestion and maximize the deliver efficiency of beaconing.
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Furthermore, varying the beaconing rate in our experiments has not led to significant changes in our simulation results, except for more message collisions.
Since there may be failures (e.g., collisions) when sending these beacons, we introduce a time tolerance before removing an entry defined as t t = 2.5 ( 1 b f ), where b f is the beaconing rate, e.g., 10 Hz.
Table 3 Network configuration Parameter Value Tx power 20 dB m Communication range 300 m Propagation loss model Nakagami Propagation delay Constant speed propagation delay model SCH and CCH duration 50 ms Beacon generation rate 10 Hz Emergency packet generation rate 1/10 s −1.
Energy consumption is further reduced by optimizing the beacon transmission rate.
Since they are used to create a cooperative awareness, beacon generation rate should be in the order of several beacons per second to provide the system with accurate information about the close surroundings [3, 5, 8, 9].
Wind, rain and the seas were eroding the bluffs around the 200-year-old beacon at the rate of more than a foot a year, threatening to eventually topple the sentinel into the waves.
However, under high density scenarios, fixed rate beaconing can cause severe congestion and lower the deliver rate of beacons and other kinds of messages.
The modal peak, which resides around 0.1024 s, represents the ability of the device to produce beacons at a rate of 10/s.
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