2020
DOI: 10.3390/s20133733
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Sensor Node Activation Using Bat Algorithm for Connected Target Coverage in WSNs

Abstract: This paper proposes a sensor node activation method using the nature-inspired algorithm (NIA) for the target coverage problem. The NIAs have been used to solve various optimization problems. This paper formulates the sensor target coverage problem into an object function and solves it with an NIA, specifically, the bat algorithm (BA). Although this is not the first attempt to use the BA for the coverage problem, the proposed method introduces a new concept called bat couple which consists of two bats. … Show more

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Cited by 16 publications
(7 citation statements)
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“… and are the velocity and position of bat t at period step p. To prevent the local optimum trap, a new solution around the best current solution is proposed using a random walk: where is a random number obtained in [− 1,1], and is the average loudness of the bats at the p -th iteration . If the condition in line 9 of Algorithm 2 is fulfilled, the bat algorithm reduces the loudness and increases the pulse rate using following formulas: where σ and γ are constant values, such as the cooling factor in simulated annealing (SA) [ 37 ].…”
Section: Methodsmentioning
confidence: 99%
“… and are the velocity and position of bat t at period step p. To prevent the local optimum trap, a new solution around the best current solution is proposed using a random walk: where is a random number obtained in [− 1,1], and is the average loudness of the bats at the p -th iteration . If the condition in line 9 of Algorithm 2 is fulfilled, the bat algorithm reduces the loudness and increases the pulse rate using following formulas: where σ and γ are constant values, such as the cooling factor in simulated annealing (SA) [ 37 ].…”
Section: Methodsmentioning
confidence: 99%
“…• Game theoretic-based node scheduling schemes: An emerging research paradigm in node scheduling schemes is the adoption of selection strategies based on game theory. A game theoretic approach is proposed in [156], in which all sensor nodes in the surveillance field are players or competitors in the coverage game. A strategy set is associated with each player.…”
Section: Figure 18 State Diagram Of Obsp Protocolmentioning
confidence: 99%
“…The distributed particle swarm optimization (D-PSO) algorithm was designed to reach a near to optimal coverage of closed virtual target-barrier determined in directional sensor networks with rotatable sensors [26]. A bat-inspired algorithm was applied for connected target coverage in WSNs [27]. It searches to find appropriate sensors to activate for sensing targets.…”
Section: Related Workmentioning
confidence: 99%