Enhanced Route Selection for Energy Efficiency in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) facilitate monitoring and controlling of physical environments from remote locations with the best possible accuracy. Sensor networks are dense wireless networks consisting of groups of small, inexpensive nodes, which collect and disseminate critical data. Thus, sensor nodes have various energy and computational constraints, due to their inexpensive nature and ad hoc method of deployment. Considerable research has been focused at overcoming these deficiencies through low-energy consumption schemes. Among, other factors, the route selection strategy may have an impact on the network lifetime. In this paper, we present a lifetime prolonging route selection strategy for wireless sensor networks, namely Low Cost Min-Max Energy Routing (LCMMER). The proposed algorithm tries to avoid the least-energy nodes, while at the same time to maintain low energy consumption for each transmission. Simulation results confirm the superiority of the proposed strategy in terms of node lifetime and network connectivity in comparison with the Minimum Total Transmission Power Routing (MTPR) and the Min-Max Battery Cost Routing (MMBCR) route selection strategies.

CNS: a new energy efficient transmission scheme for wireless sensor networks

“…Most research efforts on reducing energy consumption have mainly been focussed on the MAC layer design [1], optimizing data transmissions by reducing collisions [2] and retransmissions [3][4][5] and through intelligent selection of paths [6][7][8][9][10][11] or special architectures [12][13][14][15] for data communication. The reader is referred to [16][17][18][19] for a survey of routing, power control and energy optimization in wireless sensor networks.…”

Optimization of Energy Consumption for OLSR Routing Protocol in MANET

“…Finally, MDR selects the optimal path having the highest maximum lifetime value. [9] The difference between MMBCR and LCMMER is that MMBCR avoids the path with lowest energy nodes, does not consider the cost of the path and may select excessively long paths, whereas LCMMER also tries to avoid least energy nodes.…”

Ανάπτυξη Αλγορίθμων Μελέτη Επίδοσης Και Βελτιστοποιήσεις Σε Σύγχρονα Ασύρματα Δίκτυα

“…Ο αλγόριθμος LCMMER θα επέλεγε το μονοπάτι {0, 5, 6}, (διακεκομμένη γραμμή), το οποίο είναι και σύντομο (γρήγορη μετάβαση των δεδομένων από την πηγή στον αποδέκτη), και καταναλώνει την ελάχιστη δυνατή ενέργεια, ενώ ταυτόχρονα συντηρεί τη συνδεσιμότητα (connectivity) του δικτύου. Ο αλγόριθμος LCMMER (Low Cost Min-Max Energy Routing)[129], προσπαθεί να αποφύγει τους κόμβους με τη χαμηλότερη διαθέσιμη ενέργεια, ενώ διατηρεί ταυτόχρονα σε χαμηλά επίπεδα την ενέργεια που καταναλώνεται σε κάθε εκπομπή πακέτων. Ειδικότερα, βασιζόμενοι στον αλγόριθμο MTPR, η ενέργεια P l που καταναλώνεται στη διαδρομή l υπολογίζεται από την παρακάτω σχέση:…”