Performance Evaluation of a Proposed On-Demand Recharging Policy in Wireless Sensor Networks (bibtex)
by Georgios Tsoumanis, Konstantinos Oikonomou, Sonia Aïssa, Ioannis Stavrakakis
Abstract:
In order to tackle the energy hole problem in wireless sensor networks, various recharging policies have been proposed attempting to keep the average energy level high and the recharging distance (i.e., the distance covered by a mobile recharger) low. As shown in the literature, the recharging distance is minimized when the basis of the mobile recharger is located at the solution of a median problem that takes into account both distance and traffic demands. In this paper, a novel on-demand recharging policy is proposed based on local information, where the mobile recharger moves - upon request - to a target node of reduced energy level and replenishes its battery. Under the proposed policy, the mobile recharger moves in a hop-by-hop manner to the neighbor nodes of the lowest energy level, starting from the target node. The effectiveness of this policy is investigated here using simulation results and compared against an existing well-known on-demand recharging policy that exploits global knowledge (i.e., knowledge of both the energy level of all nodes and the network topology). It is shown that the proposed policy, even though based on local information, maintain the average energy level and termination time higher than that under the existing one that exploits global knowledge. Furthermore, it is observed that the network's lifetime is maximized when the basis of the mobile recharger is located at the solution of the mentioned median problem for all studied policies.
Reference:
Georgios Tsoumanis, Konstantinos Oikonomou, Sonia Aïssa, Ioannis Stavrakakis, "Performance Evaluation of a Proposed On-Demand Recharging Policy in Wireless Sensor Networks", In 2018 IEEE 19th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) (IEEE WoWMoM 2018), Chania, Crete, Greece, 2018.
Bibtex Entry:
@inproceedings{tsoumanis2018performance,
	Abstract = {In order to tackle the energy hole problem in wireless sensor networks,
	various recharging policies have been proposed attempting to keep the
	average energy level high and the recharging distance (i.e., the distance
	covered by a mobile recharger) low. As shown in the literature, the
	recharging distance is minimized when the basis of the mobile recharger is
	located at the solution of a median problem that takes into account both
	distance and traffic demands. In this paper, a novel on-demand recharging
	policy is proposed based on local information, where the mobile recharger
	moves - upon request - to a target node of reduced energy level and
	replenishes its battery. Under the proposed policy, the mobile recharger
	moves in a hop-by-hop manner to the neighbor nodes of the lowest energy
	level, starting from the target node. The effectiveness of this policy is
	investigated here using simulation results and compared against an existing
	well-known on-demand recharging policy that exploits global knowledge
	(i.e., knowledge of both the energy level of all nodes and the network
	topology). It is shown that the proposed policy, even though based on local
	information, maintain the average energy level and termination time higher
	than that under the existing one that exploits global knowledge.
	Furthermore, it is observed that the network's lifetime is maximized when
	the basis of the mobile recharger is located at the solution of the
	mentioned median problem for all studied policies.},
	Address = {Chania, Crete, Greece},
	Author = {Tsoumanis, Georgios and Oikonomou, Konstantinos and A{\"i}ssa, Sonia and Stavrakakis, Ioannis},
	Booktitle = {2018 IEEE 19th International Symposium on {"}A World of Wireless, Mobile and Multimedia Networks{"} (WoWMoM) (IEEE WoWMoM 2018)},
	Days = {11},
	Keywords = {own, sonia, refereed, olinet},
	Month = {jun},
	Title = {{{Performance Evaluation of a Proposed On-Demand Recharging Policy in Wireless Sensor Networks}}},
	Year = {2018}}
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