For various reasons, some communities have good connectivity amongst themselves, but limited or inadequate contact with a broader community. The CLAP (Cross-Layer Algorithms for Phealth) project is exploring ways to monitor quality-of-life parameters. We are developing low-cost, low-bandwith sensor networks that support applications for capturing, interpreting, and communicating various aspects of both community data (e.g., water, air, or soil quality), and individual data (e.g., heath, hygiene, nutrition), in settings where there is better connectivity among group members than to a core network. Examples of such communities may be found, for example, in OLPC deployment scenarios.