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Mina Mahdavi & Mahmod Ismail

Rescheduling of Nodes Duty Cycles to Prevent Partitioning in Wireless Sensor Networks

(Volume 85 - Année 2016 — Actes de colloques — Special edition)
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Abstract

For the perfect operation of a WSN both requirements of sensing coverage and network connectivity are needed simultaneously. The method used in this work satisfies both of those requirements. For the sensing coverage, it uses randomized scheduling algorithm, in which each sensor node randomly selects one of the k predefined working subset. At any time only sensor nodes in one subset are active and nodes in the other subsets are in the sleep mode. Then, the algorithm turns on extra sensor nodes if necessary for the network connectivity. The problem of this method is some of extra-on nodes should be active more than one additional subset and even should be stay on all the time. Also extra-on nodes that are turned on to participate in other nodes routing, sometimes are subjected to many transmissions and receptions. So, they are faced with rapid battery depletion and this problem may lead to network partitioning. In this paper, we utilize rescheduling methods to minimize the number of extra on sensor nodes. By probing mechanism algorithms that allow for some nodes to change their working schedule, number of extra on nodes is reduced up to 35%.

Keywords : network connectivity, partitioning, scheduling, sensing coverage, wireless sensor networks

Pour citer cet article

Mina Mahdavi & Mahmod Ismail, «Rescheduling of Nodes Duty Cycles to Prevent Partitioning in Wireless Sensor Networks», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 85 - Année 2016, Actes de colloques, Special edition, 418 - 423 URL : http://popups.ulg.be/0037-9565/index.php?id=5777.

A propos de : Mina Mahdavi

Department of Information Technology & Computer Engineering, Payame Noor University (PNU), Iran

A propos de : Mahmod Ismail

Department of Electrical, Electronic and System Engineering, Faculty of Engineering & Built Environment, UKM, Bangi, Selangor, Malaysia