Abstract
One of the challenging topics and design constraints in Wireless Sensor Networks (WSNs) is the reduction of energy consumption because, in most application scenarios, replacement of power resources in sensor devices might be unfeasible. In order to minimize the power consumption, some nodes can be put to sleep during idle times and wake up only when needed. Although it seems the best way to limit the consumption of energy, other performance parameters such as network reliability have to be considered. In a recent paper, we introduced a new forwarding algorithm for WSNs based on a simple splitting procedure able to increase the network lifetime. The forwarding technique is based on the Chinese Remainder Theorem and exhibits very good results in terms of energy efficiency and complexity. In this paper, we intend to investigate a trade-off between energy efficiency and reliability of the proposed forwarding scheme when duty-cycling techniques are considered too.
Highlights
The recent years have witnessed a large diffusion of wireless sensor networks in different application scenarios: agricultural fields monitoring, environmental pollution monitoring, search and rescue operations in contaminated areas, antimining operations, and so forth
Sensor networks are composed of several low-cost devices with limited processing and storage capabilities, one of the hot topics in wireless sensor networks is the reduction of energy consumption
In [1], we have presented a forwarding technique based on the Chinese Remainder Theorem (CRT) which splits the original packets into several packets such that each node of the network will forward only small subpackets
Summary
The recent years have witnessed a large diffusion of wireless sensor networks in different application scenarios: agricultural fields monitoring, environmental pollution monitoring, search and rescue operations in contaminated areas, antimining operations, and so forth. Due to the growing gap between application requirements and the slow progress in battery capacity, several techniques have been proposed in the literature which put nodes periodically into sleep whenever communications are not needed. This is the most effective way to reduce energy consumption, depending on the forwarding technique used, a sleep/wake up scheduling algorithm is sometime required which implies solving critical synchronization issues. The proposed technique, investigated through analytical models and simulations, shows very good results in terms of energy efficiency and appears suitable for those forwarding nodes that are more solicited than others due to their position into the sensor network.
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